Mac16,9
Geekbench AI Score
21196
Single Precision Score
23878
Half Precision Score
18605
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| Upload Date | April 23 2025 08:24 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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, 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% |
8546
1.59 KIPS |
|
|
Image Classification (HP)
|
100% |
8487
1.58 KIPS |
|
|
Image Classification (Q)
|
99% |
8345
1.56 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23350
378.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
24079
390.3 IPS |
|
|
Image Segmentation (Q)
|
100% |
24178
392.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
92442
107.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
97359
113.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
90876
106.4 IPS |
|
|
Object Detection (SP)
|
100% |
8119
644.0 IPS |
|
|
Object Detection (HP)
|
100% |
8610
683.0 IPS |
|
|
Object Detection (Q)
|
92% |
7617
608.0 IPS |
|
|
Face Detection (SP)
|
100% |
36402
432.5 IPS |
|
|
Face Detection (HP)
|
100% |
39489
469.2 IPS |
|
|
Face Detection (Q)
|
100% |
32025
380.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
40115
309.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
46737
360.1 IPS |
|
|
Depth Estimation (Q)
|
97% |
6910
53.4 IPS |
|
|
Style Transfer (SP)
|
100% |
201966
259.6 IPS |
|
|
Style Transfer (HP)
|
100% |
218237
280.5 IPS |
|
|
Style Transfer (Q)
|
100% |
218248
280.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
25127
927.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27168
1.00 KIPS |
|
|
Image Super-Resolution (Q)
|
98% |
22951
850.3 IPS |
|
|
Text Classification (SP)
|
100% |
2948
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
5417
7.23 KIPS |
|
|
Text Classification (Q)
|
93% |
5402
7.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
5596
96.4 IPS |
|
|
Machine Translation (HP)
|
100% |
5934
102.2 IPS |
|
|
Machine Translation (Q)
|
98% |
5945
102.7 IPS |
