Mac16,9
Geekbench AI Score
9673
Single Precision Score
10746
Half Precision Score
10039
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | Haitao |
| Upload Date | October 27 2025 02:18 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B5057f) |
| 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% |
9584
1.78 KIPS |
|
|
Image Classification (HP)
|
100% |
9839
1.83 KIPS |
|
|
Image Classification (Q)
|
96% |
9090
1.70 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23155
375.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
24028
389.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
23158
375.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
101604
118.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
111175
129.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
106213
124.4 IPS |
|
|
Object Detection (SP)
|
100% |
8934
708.7 IPS |
|
|
Object Detection (HP)
|
100% |
9815
778.5 IPS |
|
|
Object Detection (Q)
|
92% |
9355
746.7 IPS |
|
|
Face Detection (SP)
|
100% |
39482
469.1 IPS |
|
|
Face Detection (HP)
|
100% |
43458
516.4 IPS |
|
|
Face Detection (Q)
|
100% |
35347
420.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
44737
344.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
48251
371.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
43557
340.2 IPS |
|
|
Style Transfer (SP)
|
100% |
217723
279.9 IPS |
|
|
Style Transfer (HP)
|
100% |
235567
302.8 IPS |
|
|
Style Transfer (Q)
|
96% |
228561
295.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
29013
1.07 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
29530
1.09 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
26151
965.6 IPS |
|
|
Text Classification (SP)
|
100% |
3194
4.26 KIPS |
|
|
Text Classification (HP)
|
99% |
5462
7.29 KIPS |
|
|
Text Classification (Q)
|
93% |
5402
7.25 KIPS |
|
|
Machine Translation (SP)
|
0% |
0
52.5 IPS |
|
|
Machine Translation (HP)
|
0% |
0
53.9 IPS |
|
|
Machine Translation (Q)
|
0% |
0
48.5 IPS |
