Mac16,9
Geekbench AI Score
5605
Single Precision Score
37665
Half Precision Score
50196
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | shafnitz |
| Upload Date | November 08 2025 04:02 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.7.2 (Build 24G325) |
| 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% |
2137
397.5 IPS |
|
|
Image Classification (HP)
|
100% |
17725
3.30 KIPS |
|
|
Image Classification (Q)
|
97% |
22187
4.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2369
38.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
23085
374.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
31129
504.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
18200
21.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
123158
143.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
228217
267.5 IPS |
|
|
Object Detection (SP)
|
100% |
2628
208.4 IPS |
|
|
Object Detection (HP)
|
100% |
19344
1.53 KIPS |
|
|
Object Detection (Q)
|
91% |
24254
1.94 KIPS |
|
|
Face Detection (SP)
|
100% |
4926
58.5 IPS |
|
|
Face Detection (HP)
|
100% |
45517
540.8 IPS |
|
|
Face Detection (Q)
|
100% |
57486
683.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8868
68.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
110161
848.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
180857
1.41 KIPS |
|
|
Style Transfer (SP)
|
100% |
25470
32.7 IPS |
|
|
Style Transfer (HP)
|
100% |
232866
299.4 IPS |
|
|
Style Transfer (Q)
|
96% |
297875
384.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6087
224.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46866
1.73 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
78736
2.91 KIPS |
|
|
Text Classification (SP)
|
100% |
2984
3.98 KIPS |
|
|
Text Classification (HP)
|
100% |
6384
8.52 KIPS |
|
|
Text Classification (Q)
|
93% |
6221
8.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
6256
107.8 IPS |
|
|
Machine Translation (HP)
|
100% |
16875
290.7 IPS |
|
|
Machine Translation (Q)
|
98% |
17512
302.6 IPS |
