Mac Studio (M4 Max) Mac16,9
Geekbench AI Score
22385
Single Precision Score
24916
Half Precision Score
22998
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | noctilust |
| Upload Date | March 23 2025 05:26 AM |
| Views | 28 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E5238a) |
| 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 | 4.47 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9715
1.81 KIPS |
|
|
Image Classification (HP)
|
100% |
9739
1.81 KIPS |
|
|
Image Classification (Q)
|
96% |
8896
1.66 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23103
374.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
23537
381.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
22504
364.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
105731
123.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
108680
126.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
106286
124.5 IPS |
|
|
Object Detection (SP)
|
100% |
8622
683.9 IPS |
|
|
Object Detection (HP)
|
100% |
10281
815.5 IPS |
|
|
Object Detection (Q)
|
92% |
9056
722.9 IPS |
|
|
Face Detection (SP)
|
100% |
39049
464.0 IPS |
|
|
Face Detection (HP)
|
100% |
40968
486.8 IPS |
|
|
Face Detection (Q)
|
100% |
36703
436.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
44027
339.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
47537
366.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
43066
336.7 IPS |
|
|
Style Transfer (SP)
|
100% |
217745
279.9 IPS |
|
|
Style Transfer (HP)
|
100% |
235336
302.5 IPS |
|
|
Style Transfer (Q)
|
96% |
222018
286.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
29428
1.09 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
30506
1.13 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
27360
1.01 KIPS |
|
|
Text Classification (SP)
|
100% |
2902
3.87 KIPS |
|
|
Text Classification (HP)
|
100% |
5233
6.98 KIPS |
|
|
Text Classification (Q)
|
93% |
5201
6.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
4831
83.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4921
84.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4303
74.4 IPS |
