Mac16,9
Geekbench AI Score
5575
Single Precision Score
37797
Half Precision Score
52125
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | June 21 2025 03:01 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 4.51 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2128
395.7 IPS |
|
|
Image Classification (HP)
|
100% |
17658
3.28 KIPS |
|
|
Image Classification (Q)
|
97% |
23381
4.36 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2352
38.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
22947
372.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
32809
531.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
18045
21.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
122838
143.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
230029
269.6 IPS |
|
|
Object Detection (SP)
|
100% |
2631
208.7 IPS |
|
|
Object Detection (HP)
|
100% |
19631
1.56 KIPS |
|
|
Object Detection (Q)
|
91% |
24161
1.93 KIPS |
|
|
Face Detection (SP)
|
100% |
4872
57.9 IPS |
|
|
Face Detection (HP)
|
100% |
45155
536.5 IPS |
|
|
Face Detection (Q)
|
100% |
66276
787.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8887
68.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
109851
846.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
179714
1.41 KIPS |
|
|
Style Transfer (SP)
|
100% |
25956
33.4 IPS |
|
|
Style Transfer (HP)
|
100% |
232457
298.8 IPS |
|
|
Style Transfer (Q)
|
96% |
298320
385.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6073
224.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47406
1.75 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
80564
2.97 KIPS |
|
|
Text Classification (SP)
|
100% |
2933
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
6441
8.60 KIPS |
|
|
Text Classification (Q)
|
93% |
7115
9.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
6108
105.2 IPS |
|
|
Machine Translation (HP)
|
100% |
17301
298.0 IPS |
|
|
Machine Translation (Q)
|
98% |
17054
294.7 IPS |
