MacBook Pro (16-inch Late 2019)
Geekbench AI Score
3623
Single Precision Score
3496
Half Precision Score
1015
Quantized Score
Geekbench AI 1.3.0 for macOS AVX2
Result Information
| Upload Date | June 22 2025 04:32 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | AMD Radeon Pro 5500M |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| Model | MacBook Pro (16-inch Late 2019) |
| Model ID | MacBookPro16,1 |
| Motherboard | Apple Inc. Mac-E1008331FDC96864 MacBookPro16,1 |
| CPU Information | |
|---|---|
| Name | Intel Core i9-9980HK |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 13 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Transfer Rate | 2667 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3017
561.0 IPS |
|
|
Image Classification (HP)
|
100% |
3009
559.5 IPS |
|
|
Image Classification (Q)
|
96% |
130
24.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
358
5.80 IPS |
|
|
Image Segmentation (HP)
|
100% |
349
5.65 IPS |
|
|
Image Segmentation (Q)
|
99% |
205
3.33 IPS |
|
|
Pose Estimation (SP)
|
100% |
18347
21.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
19605
22.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
1989
2.33 IPS |
|
|
Object Detection (SP)
|
100% |
2606
206.7 IPS |
|
|
Object Detection (HP)
|
100% |
2614
207.4 IPS |
|
|
Object Detection (Q)
|
92% |
103
8.23 IPS |
|
|
Face Detection (SP)
|
100% |
8766
104.2 IPS |
|
|
Face Detection (HP)
|
100% |
5920
70.3 IPS |
|
|
Face Detection (Q)
|
100% |
225
2.68 IPS |
|
|
Depth Estimation (SP)
|
100% |
13181
101.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
12954
99.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
12533
97.9 IPS |
|
|
Style Transfer (SP)
|
100% |
33804
43.5 IPS |
|
|
Style Transfer (HP)
|
100% |
38307
49.2 IPS |
|
|
Style Transfer (Q)
|
96% |
47866
61.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6513
240.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7470
275.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7533
278.2 IPS |
|
|
Text Classification (SP)
|
100% |
400
534.0 IPS |
|
|
Text Classification (HP)
|
100% |
522
697.3 IPS |
|
|
Text Classification (Q)
|
93% |
480
644.3 IPS |
|
|
Machine Translation (SP)
|
100% |
743
12.8 IPS |
|
|
Machine Translation (HP)
|
100% |
443
7.63 IPS |
|
|
Machine Translation (Q)
|
98% |
436
7.53 IPS |
