Mac16,9
Geekbench AI Score
21616
Single Precision Score
23623
Half Precision Score
18507
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | MacHammerFan |
| Upload Date | March 14 2025 11:57 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D2082) |
| Model | Mac16,9 |
| Model ID | Mac16,9 |
| Motherboard | Mac16,9 |
| CPU Information | |
|---|---|
| Name | Apple M4 Max |
| Topology | 1 Processor, 16 Cores |
| Identifier | Apple M4 Max |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9998
1.86 KIPS |
|
|
Image Classification (HP)
|
100% |
10672
1.98 KIPS |
|
|
Image Classification (Q)
|
99% |
10160
1.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19275
312.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
20202
327.5 IPS |
|
|
Image Segmentation (Q)
|
100% |
20728
336.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
107848
125.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
109828
128.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
101278
118.6 IPS |
|
|
Object Detection (SP)
|
100% |
9433
748.2 IPS |
|
|
Object Detection (HP)
|
100% |
9973
791.1 IPS |
|
|
Object Detection (Q)
|
91% |
8973
717.0 IPS |
|
|
Face Detection (SP)
|
100% |
39963
474.8 IPS |
|
|
Face Detection (HP)
|
100% |
40070
476.1 IPS |
|
|
Face Detection (Q)
|
100% |
30806
366.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
44406
342.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
47160
363.3 IPS |
|
|
Depth Estimation (Q)
|
97% |
7797
60.3 IPS |
|
|
Style Transfer (SP)
|
100% |
218757
281.2 IPS |
|
|
Style Transfer (HP)
|
100% |
237724
305.6 IPS |
|
|
Style Transfer (Q)
|
100% |
240708
309.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
30924
1.14 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
31278
1.15 KIPS |
|
|
Image Super-Resolution (Q)
|
98% |
25770
954.7 IPS |
|
|
Text Classification (SP)
|
100% |
2987
3.99 KIPS |
|
|
Text Classification (HP)
|
100% |
5333
7.12 KIPS |
|
|
Text Classification (Q)
|
93% |
5350
7.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
3169
54.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3059
52.7 IPS |
|
|
Machine Translation (Q)
|
98% |
3091
53.4 IPS |
