Apple Inc. MacBookPro16,1
Geekbench AI Score
15812
Single Precision Score
20164
Half Precision Score
13315
Quantized Score
Geekbench AI 1.3.0 Pro for Windows AVX2
Result Information
| User | coorelle |
| Upload Date | April 29 2025 02:39 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Apple Inc. MacBookPro16,1 |
| Motherboard | Apple Inc. Mac-E1008331FDC96864 |
| 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 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6027
1.12 KIPS |
|
|
Image Classification (HP)
|
99% |
7475
1.39 KIPS |
|
|
Image Classification (Q)
|
100% |
5565
1.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7450
120.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
8137
131.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
7065
114.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
131987
154.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
249932
291.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
118410
138.7 IPS |
|
|
Object Detection (SP)
|
100% |
6957
551.8 IPS |
|
|
Object Detection (HP)
|
100% |
8821
699.7 IPS |
|
|
Object Detection (Q)
|
85% |
6320
508.8 IPS |
|
|
Face Detection (SP)
|
100% |
16669
198.1 IPS |
|
|
Face Detection (HP)
|
100% |
19812
235.4 IPS |
|
|
Face Detection (Q)
|
97% |
15657
186.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
51479
396.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
74838
576.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
41899
334.6 IPS |
|
|
Style Transfer (SP)
|
100% |
212419
273.1 IPS |
|
|
Style Transfer (HP)
|
100% |
366434
471.1 IPS |
|
|
Style Transfer (Q)
|
98% |
189180
243.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
30106
1.11 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
31155
1.15 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
23561
872.4 IPS |
|
|
Text Classification (SP)
|
100% |
2098
2.80 KIPS |
|
|
Text Classification (HP)
|
99% |
2411
3.22 KIPS |
|
|
Text Classification (Q)
|
97% |
1567
2.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
2059
35.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2031
35.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1300
24.4 IPS |
