Apple Inc. MacBookPro16,1
Geekbench AI Score
16380
Single Precision Score
20003
Half Precision Score
15445
Quantized Score
Geekbench AI 1.3.0 Pro for Windows AVX2
Result Information
| User | coorelle |
| Upload Date | June 24 2025 02:53 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 9070 XT |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6118
1.14 KIPS |
|
|
Image Classification (HP)
|
100% |
6405
1.19 KIPS |
|
|
Image Classification (Q)
|
99% |
5839
1.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7002
113.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
6776
109.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
7629
124.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
170883
199.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
351627
410.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
159729
187.1 IPS |
|
|
Object Detection (SP)
|
100% |
6947
551.1 IPS |
|
|
Object Detection (HP)
|
99% |
8200
650.4 IPS |
|
|
Object Detection (Q)
|
87% |
7037
565.2 IPS |
|
|
Face Detection (SP)
|
100% |
19007
225.8 IPS |
|
|
Face Detection (HP)
|
100% |
20042
238.1 IPS |
|
|
Face Detection (Q)
|
97% |
18055
215.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
62533
481.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
75455
581.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
53254
426.8 IPS |
|
|
Style Transfer (SP)
|
100% |
285175
366.6 IPS |
|
|
Style Transfer (HP)
|
100% |
404692
520.2 IPS |
|
|
Style Transfer (Q)
|
98% |
261166
336.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
31670
1.17 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
38052
1.41 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
27465
1.02 KIPS |
|
|
Text Classification (SP)
|
100% |
1275
1.70 KIPS |
|
|
Text Classification (HP)
|
100% |
1782
2.38 KIPS |
|
|
Text Classification (Q)
|
97% |
1494
2.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
1998
34.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1975
34.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1498
28.1 IPS |
