Mac16,9
Geekbench AI Score
23404
Single Precision Score
25966
Half Precision Score
23579
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | l3uzz |
| Upload Date | October 31 2025 03:40 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10690
1.99 KIPS |
|
|
Image Classification (HP)
|
100% |
10582
1.97 KIPS |
|
|
Image Classification (Q)
|
96% |
9405
1.76 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23544
381.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
23794
385.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
23051
373.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
101641
118.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
111269
129.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
106466
124.7 IPS |
|
|
Object Detection (SP)
|
100% |
8925
707.9 IPS |
|
|
Object Detection (HP)
|
100% |
9887
784.2 IPS |
|
|
Object Detection (Q)
|
92% |
9358
747.0 IPS |
|
|
Face Detection (SP)
|
100% |
40056
476.0 IPS |
|
|
Face Detection (HP)
|
100% |
42524
505.3 IPS |
|
|
Face Detection (Q)
|
100% |
35886
426.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
44478
342.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
47315
364.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
42937
335.4 IPS |
|
|
Style Transfer (SP)
|
100% |
217849
280.0 IPS |
|
|
Style Transfer (HP)
|
100% |
237067
304.8 IPS |
|
|
Style Transfer (Q)
|
96% |
230181
297.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
29749
1.10 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
30605
1.13 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
26302
971.2 IPS |
|
|
Text Classification (SP)
|
100% |
3245
4.33 KIPS |
|
|
Text Classification (HP)
|
99% |
5624
7.51 KIPS |
|
|
Text Classification (Q)
|
93% |
5555
7.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
5765
99.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6129
105.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4747
82.0 IPS |
