Mac16,9
Geekbench AI Score
6045
Single Precision Score
9644
Half Precision Score
7319
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | jimmyweee |
| Upload Date | November 23 2025 01:33 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2200
409.1 IPS |
|
|
Image Classification (HP)
|
100% |
3141
584.1 IPS |
|
|
Image Classification (Q)
|
96% |
2206
411.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2431
39.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3582
58.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
4015
65.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
18481
21.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
34708
40.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
27239
31.9 IPS |
|
|
Object Detection (SP)
|
100% |
2730
216.6 IPS |
|
|
Object Detection (HP)
|
97% |
3956
314.9 IPS |
|
|
Object Detection (Q)
|
94% |
2803
223.4 IPS |
|
|
Face Detection (SP)
|
100% |
5359
63.7 IPS |
|
|
Face Detection (HP)
|
100% |
8856
105.2 IPS |
|
|
Face Detection (Q)
|
100% |
4915
58.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
9082
70.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
15621
120.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
9871
77.0 IPS |
|
|
Style Transfer (SP)
|
100% |
31618
40.6 IPS |
|
|
Style Transfer (HP)
|
100% |
58729
75.5 IPS |
|
|
Style Transfer (Q)
|
96% |
44308
57.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7071
261.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9672
357.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5468
201.9 IPS |
|
|
Text Classification (SP)
|
100% |
3289
4.39 KIPS |
|
|
Text Classification (HP)
|
99% |
5773
7.70 KIPS |
|
|
Text Classification (Q)
|
93% |
5603
7.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
6750
116.3 IPS |
|
|
Machine Translation (HP)
|
98% |
9935
171.7 IPS |
|
|
Machine Translation (Q)
|
98% |
9916
171.4 IPS |
