MacBook Pro (16-inch Late 2019)
Geekbench AI Score
845
Single Precision Score
604
Half Precision Score
402
Quantized Score
Geekbench AI 1.3.0 for macOS AVX2
Result Information
| Upload Date | June 27 2025 11:44 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i9-9880H |
| System Information | |
|---|---|
| Operating System | macOS 16.0 (Build 25A5295e) |
| 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% |
402
74.8 IPS |
|
|
Image Classification (HP)
|
100% |
297
55.3 IPS |
|
|
Image Classification (Q)
|
96% |
162
30.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
401
6.50 IPS |
|
|
Image Segmentation (HP)
|
100% |
363
5.89 IPS |
|
|
Image Segmentation (Q)
|
99% |
248
4.02 IPS |
|
|
Pose Estimation (SP)
|
100% |
2454
2.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
777
0.91 IPS |
|
|
Pose Estimation (Q)
|
96% |
639
0.75 IPS |
|
|
Object Detection (SP)
|
100% |
437
34.7 IPS |
|
|
Object Detection (HP)
|
100% |
358
28.4 IPS |
|
|
Object Detection (Q)
|
92% |
195
15.5 IPS |
|
|
Face Detection (SP)
|
100% |
843
10.0 IPS |
|
|
Face Detection (HP)
|
100% |
652
7.75 IPS |
|
|
Face Detection (Q)
|
100% |
266
3.16 IPS |
|
|
Depth Estimation (SP)
|
100% |
1320
10.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1047
8.07 IPS |
|
|
Depth Estimation (Q)
|
85% |
641
5.01 IPS |
|
|
Style Transfer (SP)
|
100% |
4183
5.38 IPS |
|
|
Style Transfer (HP)
|
100% |
3091
3.97 IPS |
|
|
Style Transfer (Q)
|
96% |
2100
2.71 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1202
44.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
520
19.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
321
11.8 IPS |
|
|
Text Classification (SP)
|
100% |
387
516.0 IPS |
|
|
Text Classification (HP)
|
100% |
389
518.7 IPS |
|
|
Text Classification (Q)
|
93% |
385
516.9 IPS |
|
|
Machine Translation (SP)
|
100% |
500
8.61 IPS |
|
|
Machine Translation (HP)
|
100% |
509
8.77 IPS |
|
|
Machine Translation (Q)
|
98% |
506
8.74 IPS |
