Apple Inc. MacBookPro16,1
Geekbench AI Score
11502
Single Precision Score
13162
Half Precision Score
10062
Quantized Score
Geekbench AI 1.2.0 Pro for Windows AVX2
Result Information
| User | coorelle |
| Upload Date | March 14 2025 10:21 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 7600M 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3956
735.7 IPS |
|
|
Image Classification (HP)
|
100% |
4450
827.5 IPS |
|
|
Image Classification (Q)
|
100% |
4396
817.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
5843
94.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4838
78.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
4911
79.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
89719
104.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
135741
158.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
80538
94.3 IPS |
|
|
Object Detection (SP)
|
100% |
4816
382.0 IPS |
|
|
Object Detection (HP)
|
99% |
5842
463.4 IPS |
|
|
Object Detection (Q)
|
87% |
4403
353.7 IPS |
|
|
Face Detection (SP)
|
100% |
13489
160.3 IPS |
|
|
Face Detection (HP)
|
100% |
15138
179.9 IPS |
|
|
Face Detection (Q)
|
97% |
12431
148.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
40644
313.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
48011
369.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
35095
281.4 IPS |
|
|
Style Transfer (SP)
|
100% |
141774
182.3 IPS |
|
|
Style Transfer (HP)
|
100% |
214241
275.4 IPS |
|
|
Style Transfer (Q)
|
98% |
128516
165.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
20360
751.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23655
873.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17208
637.2 IPS |
|
|
Text Classification (SP)
|
100% |
1556
2.08 KIPS |
|
|
Text Classification (HP)
|
100% |
1506
2.01 KIPS |
|
|
Text Classification (Q)
|
97% |
1183
1.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
1648
28.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1648
28.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1218
22.8 IPS |
