Mac16,9
Geekbench AI Score
5562
Single Precision Score
9236
Half Precision Score
7139
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | justinwkf |
| Upload Date | July 31 2025 04:24 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| Model | Mac16,9 |
| Model ID | Mac16,9 |
| Motherboard | Mac16,9 |
| CPU Information | |
|---|---|
| Name | Apple M4 Max |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M4 Max |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2117
393.7 IPS |
|
|
Image Classification (HP)
|
100% |
3081
573.0 IPS |
|
|
Image Classification (Q)
|
96% |
2199
410.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2373
38.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3625
58.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3919
63.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
18117
21.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
32651
38.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
24637
28.9 IPS |
|
|
Object Detection (SP)
|
100% |
2580
204.7 IPS |
|
|
Object Detection (HP)
|
97% |
3886
309.4 IPS |
|
|
Object Detection (Q)
|
94% |
2701
215.3 IPS |
|
|
Face Detection (SP)
|
100% |
4829
57.4 IPS |
|
|
Face Detection (HP)
|
100% |
8053
95.7 IPS |
|
|
Face Detection (Q)
|
100% |
4689
55.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8849
68.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
14811
114.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
10379
81.0 IPS |
|
|
Style Transfer (SP)
|
100% |
26075
33.5 IPS |
|
|
Style Transfer (HP)
|
100% |
51934
66.8 IPS |
|
|
Style Transfer (Q)
|
96% |
40079
51.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6134
226.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10194
376.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6067
224.0 IPS |
|
|
Text Classification (SP)
|
100% |
2947
3.93 KIPS |
|
|
Text Classification (HP)
|
100% |
5458
7.28 KIPS |
|
|
Text Classification (Q)
|
93% |
5499
7.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
5992
103.2 IPS |
|
|
Machine Translation (HP)
|
98% |
9250
159.8 IPS |
|
|
Machine Translation (Q)
|
98% |
9222
159.4 IPS |
