Mac16,8
Geekbench AI Score
5763
Single Precision Score
37296
Half Precision Score
49393
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 17 2024 11:19 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B2082) |
| Model | Mac16,8 |
| Model ID | Mac16,8 |
| Motherboard | Mac16,8 |
| CPU Information | |
|---|---|
| Name | Apple M4 Pro |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.51 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2071
385.1 IPS |
|
|
Image Classification (HP)
|
100% |
18249
3.39 KIPS |
|
|
Image Classification (Q)
|
97% |
22370
4.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2515
40.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
23238
376.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
32133
520.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
18904
22.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
123037
143.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
231039
270.8 IPS |
|
|
Object Detection (SP)
|
100% |
2468
195.8 IPS |
|
|
Object Detection (HP)
|
100% |
20259
1.61 KIPS |
|
|
Object Detection (Q)
|
91% |
24974
2.00 KIPS |
|
|
Face Detection (SP)
|
100% |
4576
54.4 IPS |
|
|
Face Detection (HP)
|
100% |
44767
531.9 IPS |
|
|
Face Detection (Q)
|
100% |
60678
721.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8814
67.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
111694
860.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
178523
1.40 KIPS |
|
|
Style Transfer (SP)
|
100% |
35188
45.2 IPS |
|
|
Style Transfer (HP)
|
100% |
237499
305.3 IPS |
|
|
Style Transfer (Q)
|
96% |
301341
388.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7008
258.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46930
1.73 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
78493
2.90 KIPS |
|
|
Text Classification (SP)
|
100% |
2925
3.90 KIPS |
|
|
Text Classification (HP)
|
100% |
5448
7.27 KIPS |
|
|
Text Classification (Q)
|
93% |
4966
6.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
5721
98.5 IPS |
|
|
Machine Translation (HP)
|
100% |
16226
279.5 IPS |
|
|
Machine Translation (Q)
|
98% |
16379
283.1 IPS |
