Mac16,5
Geekbench AI Score
20615
Single Precision Score
23516
Half Precision Score
20972
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | ootoo |
| Upload Date | November 12 2024 10:30 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B2082) |
| Model | Mac16,5 |
| Model ID | Mac16,5 |
| Motherboard | Mac16,5 |
| CPU Information | |
|---|---|
| Name | Apple M4 Max |
| Topology | 1 Processor, 16 Cores |
| Identifier | Apple M4 Max |
| Base Frequency | 4.45 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10626
1.98 KIPS |
|
|
Image Classification (HP)
|
100% |
11234
2.09 KIPS |
|
|
Image Classification (Q)
|
97% |
9100
1.70 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19897
322.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
20836
337.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
21770
352.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
89206
104.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
111640
130.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
104834
122.9 IPS |
|
|
Object Detection (SP)
|
100% |
9547
757.3 IPS |
|
|
Object Detection (HP)
|
100% |
10649
844.7 IPS |
|
|
Object Detection (Q)
|
91% |
9024
721.1 IPS |
|
|
Face Detection (SP)
|
100% |
40238
478.1 IPS |
|
|
Face Detection (HP)
|
100% |
40696
483.6 IPS |
|
|
Face Detection (Q)
|
100% |
31096
369.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
45609
351.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
48426
373.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
40761
318.6 IPS |
|
|
Style Transfer (SP)
|
100% |
228330
293.5 IPS |
|
|
Style Transfer (HP)
|
100% |
242667
312.0 IPS |
|
|
Style Transfer (Q)
|
96% |
227768
293.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
31822
1.18 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
33577
1.24 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
27916
1.03 KIPS |
|
|
Text Classification (SP)
|
100% |
2956
3.95 KIPS |
|
|
Text Classification (HP)
|
100% |
5315
7.09 KIPS |
|
|
Text Classification (Q)
|
93% |
5317
7.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
1954
33.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2178
37.5 IPS |
|
|
Machine Translation (Q)
|
98% |
2050
35.4 IPS |
