Mac16,9
Geekbench AI Score
6018
Single Precision Score
37031
Half Precision Score
50468
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 10 2025 03:13 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| 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% |
2176
404.7 IPS |
|
|
Image Classification (HP)
|
100% |
17267
3.21 KIPS |
|
|
Image Classification (Q)
|
97% |
21922
4.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2439
39.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
23219
376.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
32349
524.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
18517
21.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
122172
142.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
230191
269.8 IPS |
|
|
Object Detection (SP)
|
100% |
2726
216.2 IPS |
|
|
Object Detection (HP)
|
100% |
19732
1.57 KIPS |
|
|
Object Detection (Q)
|
91% |
25214
2.01 KIPS |
|
|
Face Detection (SP)
|
100% |
5314
63.1 IPS |
|
|
Face Detection (HP)
|
100% |
44146
524.5 IPS |
|
|
Face Detection (Q)
|
100% |
63264
751.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
9060
69.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
110208
849.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
179100
1.40 KIPS |
|
|
Style Transfer (SP)
|
100% |
31536
40.5 IPS |
|
|
Style Transfer (HP)
|
100% |
230517
296.3 IPS |
|
|
Style Transfer (Q)
|
96% |
317688
410.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7076
261.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47715
1.76 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
78072
2.88 KIPS |
|
|
Text Classification (SP)
|
100% |
3248
4.34 KIPS |
|
|
Text Classification (HP)
|
99% |
5662
7.56 KIPS |
|
|
Text Classification (Q)
|
93% |
5625
7.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
6672
114.9 IPS |
|
|
Machine Translation (HP)
|
100% |
16562
285.3 IPS |
|
|
Machine Translation (Q)
|
98% |
16475
284.7 IPS |
