MacBook Pro (16-inch Late 2019)
Geekbench AI Score
4466
Single Precision Score
4727
Half Precision Score
475
Quantized Score
Geekbench AI 1.6.0 Pro for macOS AVX2
Result Information
| User | coorelle |
| Upload Date | January 19 2026 02:47 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | AMD Radeon RX 6900 XT |
| System Information | |
|---|---|
| Operating System | macOS 14.8.3 (Build 23J220) |
| Model | MacBook Pro (16-inch Late 2019) |
| Model ID | MacBookPro16,1 |
| Motherboard | Apple Inc. Mac-E1008331FDC96864 MacBookPro16,1 |
| CPU Information | |
|---|---|
| Name | Intel Core i9-9880H |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 13 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Transfer Rate | 2667 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2837
527.6 IPS |
|
|
Image Classification (HP)
|
100% |
2876
534.8 IPS |
|
|
Image Classification (Q)
|
96% |
127
23.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
340
5.52 IPS |
|
|
Image Segmentation (HP)
|
100% |
344
5.58 IPS |
|
|
Image Segmentation (Q)
|
99% |
212
3.44 IPS |
|
|
Pose Estimation (SP)
|
100% |
17650
20.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
19192
22.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
2050
2.40 IPS |
|
|
Object Detection (SP)
|
100% |
2716
215.5 IPS |
|
|
Object Detection (HP)
|
100% |
2653
210.4 IPS |
|
|
Object Detection (Q)
|
92% |
156
12.4 IPS |
|
|
Face Detection (SP)
|
100% |
9579
113.8 IPS |
|
|
Face Detection (HP)
|
100% |
9931
118.0 IPS |
|
|
Face Detection (Q)
|
100% |
234
2.78 IPS |
|
|
Depth Estimation (SP)
|
100% |
26469
203.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
29516
227.4 IPS |
|
|
Depth Estimation (Q)
|
1% |
0
201.5 IPS |
|
|
Style Transfer (SP)
|
100% |
128258
164.9 IPS |
|
|
Style Transfer (HP)
|
100% |
121352
156.0 IPS |
|
|
Style Transfer (Q)
|
96% |
148025
191.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7856
290.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14840
548.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12727
469.9 IPS |
|
|
Text Classification (SP)
|
100% |
438
585.3 IPS |
|
|
Text Classification (HP)
|
100% |
440
586.7 IPS |
|
|
Text Classification (Q)
|
93% |
346
463.7 IPS |
|
|
Machine Translation (SP)
|
100% |
611
10.5 IPS |
|
|
Machine Translation (HP)
|
100% |
477
8.22 IPS |
|
|
Machine Translation (Q)
|
98% |
449
7.76 IPS |
