MacBook Pro (16-inch Late 2019)
Geekbench AI Score
2803
Single Precision Score
2904
Half Precision Score
901
Quantized Score
Geekbench AI 1.3.0 for macOS AVX2
Result Information
| User | Chineezze |
| Upload Date | March 19 2025 02:51 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | AMD Radeon Pro 5300M |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| 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% |
2287
425.4 IPS |
|
|
Image Classification (HP)
|
100% |
2402
446.8 IPS |
|
|
Image Classification (Q)
|
96% |
131
24.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
350
5.68 IPS |
|
|
Image Segmentation (HP)
|
100% |
349
5.66 IPS |
|
|
Image Segmentation (Q)
|
99% |
194
3.14 IPS |
|
|
Pose Estimation (SP)
|
100% |
15542
18.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
14573
17.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
1873
2.20 IPS |
|
|
Object Detection (SP)
|
100% |
2377
188.6 IPS |
|
|
Object Detection (HP)
|
100% |
2318
183.9 IPS |
|
|
Object Detection (Q)
|
92% |
116
9.29 IPS |
|
|
Face Detection (SP)
|
100% |
4845
57.6 IPS |
|
|
Face Detection (HP)
|
100% |
5592
66.4 IPS |
|
|
Face Detection (Q)
|
100% |
221
2.63 IPS |
|
|
Depth Estimation (SP)
|
100% |
10472
80.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
10038
77.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
9451
73.8 IPS |
|
|
Style Transfer (SP)
|
100% |
29560
38.0 IPS |
|
|
Style Transfer (HP)
|
100% |
28546
36.7 IPS |
|
|
Style Transfer (Q)
|
96% |
36948
47.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4366
161.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5605
207.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5321
196.5 IPS |
|
|
Text Classification (SP)
|
100% |
337
449.7 IPS |
|
|
Text Classification (HP)
|
100% |
427
570.0 IPS |
|
|
Text Classification (Q)
|
93% |
418
561.5 IPS |
|
|
Machine Translation (SP)
|
100% |
460
7.92 IPS |
|
|
Machine Translation (HP)
|
100% |
393
6.76 IPS |
|
|
Machine Translation (Q)
|
98% |
373
6.45 IPS |
