Mac16,9
Geekbench AI Score
9694
Single Precision Score
10781
Half Precision Score
10062
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | Haitao |
| Upload Date | October 26 2025 03:52 PM |
| 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 | 4.51 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9707
1.81 KIPS |
|
|
Image Classification (HP)
|
100% |
10053
1.87 KIPS |
|
|
Image Classification (Q)
|
96% |
9278
1.73 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23507
381.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
24289
393.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
23249
376.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
101740
118.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
110899
129.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
106479
124.7 IPS |
|
|
Object Detection (SP)
|
100% |
8933
708.6 IPS |
|
|
Object Detection (HP)
|
100% |
9896
785.0 IPS |
|
|
Object Detection (Q)
|
92% |
9178
732.6 IPS |
|
|
Face Detection (SP)
|
100% |
39460
468.9 IPS |
|
|
Face Detection (HP)
|
100% |
44139
524.5 IPS |
|
|
Face Detection (Q)
|
100% |
36673
435.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
44774
345.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
47537
366.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
43306
338.3 IPS |
|
|
Style Transfer (SP)
|
100% |
216563
278.4 IPS |
|
|
Style Transfer (HP)
|
100% |
236049
303.4 IPS |
|
|
Style Transfer (Q)
|
96% |
228265
294.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
29243
1.08 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
29410
1.09 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
25514
942.1 IPS |
|
|
Text Classification (SP)
|
100% |
3160
4.22 KIPS |
|
|
Text Classification (HP)
|
99% |
5435
7.25 KIPS |
|
|
Text Classification (Q)
|
93% |
5461
7.33 KIPS |
|
|
Machine Translation (SP)
|
0% |
0
52.7 IPS |
|
|
Machine Translation (HP)
|
0% |
0
53.2 IPS |
|
|
Machine Translation (Q)
|
0% |
0
48.0 IPS |
