MacBook Pro (16-inch Late 2019)
Geekbench AI Score
948
Single Precision Score
116
Half Precision Score
93
Quantized Score
Geekbench AI 1.4.0 for macOS AVX2
Result Information
| Upload Date | August 21 2025 04:21 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i9-9880H |
| System Information | |
|---|---|
| Operating System | macOS 15.6 (Build 24G84) |
| 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 | 64.00 GB |
| Transfer Rate | 2667 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
452
84.0 IPS |
|
|
Image Classification (HP)
|
0
|
||
|
Image Classification (Q)
|
0
|
||
|
Image Segmentation (SP)
|
100% |
510
8.27 IPS |
|
|
Image Segmentation (HP)
|
0
|
||
|
Image Segmentation (Q)
|
0
|
||
|
Pose Estimation (SP)
|
100% |
2878
3.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
869
1.01 IPS |
|
|
Pose Estimation (Q)
|
96% |
750
0.88 IPS |
|
|
Object Detection (SP)
|
100% |
468
37.2 IPS |
|
|
Object Detection (HP)
|
0
|
||
|
Object Detection (Q)
|
0
|
||
|
Face Detection (SP)
|
100% |
1030
12.2 IPS |
|
|
Face Detection (HP)
|
100% |
809
9.61 IPS |
|
|
Face Detection (Q)
|
100% |
354
4.20 IPS |
|
|
Depth Estimation (SP)
|
100% |
1456
11.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1167
8.99 IPS |
|
|
Depth Estimation (Q)
|
85% |
737
5.77 IPS |
|
|
Style Transfer (SP)
|
100% |
4351
5.59 IPS |
|
|
Style Transfer (HP)
|
100% |
3278
4.21 IPS |
|
|
Style Transfer (Q)
|
96% |
2572
3.32 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1705
63.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
656
24.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
402
14.9 IPS |
|
|
Text Classification (SP)
|
100% |
489
652.0 IPS |
|
|
Text Classification (HP)
|
100% |
490
653.9 IPS |
|
|
Text Classification (Q)
|
93% |
486
652.8 IPS |
|
|
Machine Translation (SP)
|
100% |
348
5.99 IPS |
|
|
Machine Translation (HP)
|
100% |
534
9.20 IPS |
|
|
Machine Translation (Q)
|
98% |
530
9.16 IPS |
