Mac16,9
Geekbench AI Score
5621
Single Precision Score
9325
Half Precision Score
7151
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | Ctrl_Creeper |
| Upload Date | August 04 2025 11:03 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2131
396.3 IPS |
|
|
Image Classification (HP)
|
100% |
3107
577.9 IPS |
|
|
Image Classification (Q)
|
96% |
2221
414.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2359
38.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3600
58.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3939
63.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
18222
21.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
33080
38.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
25227
29.6 IPS |
|
|
Object Detection (SP)
|
100% |
2643
209.7 IPS |
|
|
Object Detection (HP)
|
97% |
3907
311.0 IPS |
|
|
Object Detection (Q)
|
94% |
2724
217.1 IPS |
|
|
Face Detection (SP)
|
100% |
4938
58.7 IPS |
|
|
Face Detection (HP)
|
100% |
8229
97.8 IPS |
|
|
Face Detection (Q)
|
100% |
4737
56.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8884
68.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
15119
116.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
10444
81.5 IPS |
|
|
Style Transfer (SP)
|
100% |
26447
34.0 IPS |
|
|
Style Transfer (HP)
|
100% |
54448
70.0 IPS |
|
|
Style Transfer (Q)
|
96% |
40956
52.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6088
224.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10202
376.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5786
213.6 IPS |
|
|
Text Classification (SP)
|
100% |
2948
3.93 KIPS |
|
|
Text Classification (HP)
|
100% |
5375
7.17 KIPS |
|
|
Text Classification (Q)
|
93% |
5345
7.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
6247
107.6 IPS |
|
|
Machine Translation (HP)
|
98% |
9264
160.1 IPS |
|
|
Machine Translation (Q)
|
98% |
9286
160.5 IPS |
