Mac16,9
Geekbench AI Score
23214
Single Precision Score
26060
Half Precision Score
24367
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | GeysonAlvarenga |
| Upload Date | October 23 2025 06:46 PM |
| Views | 2 |
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% |
10120
1.88 KIPS |
|
|
Image Classification (HP)
|
100% |
10616
1.97 KIPS |
|
|
Image Classification (Q)
|
96% |
9628
1.80 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23405
379.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
24147
391.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
23323
378.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
100644
117.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
109673
128.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
105047
123.0 IPS |
|
|
Object Detection (SP)
|
100% |
9013
714.9 IPS |
|
|
Object Detection (HP)
|
100% |
9731
771.9 IPS |
|
|
Object Detection (Q)
|
92% |
9133
729.1 IPS |
|
|
Face Detection (SP)
|
100% |
39985
475.1 IPS |
|
|
Face Detection (HP)
|
100% |
42714
507.5 IPS |
|
|
Face Detection (Q)
|
100% |
36102
429.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
44245
340.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
47888
369.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
43464
339.5 IPS |
|
|
Style Transfer (SP)
|
100% |
219742
282.5 IPS |
|
|
Style Transfer (HP)
|
100% |
237425
305.2 IPS |
|
|
Style Transfer (Q)
|
96% |
230241
297.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
30841
1.14 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
31277
1.15 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
27649
1.02 KIPS |
|
|
Text Classification (SP)
|
100% |
3132
4.18 KIPS |
|
|
Text Classification (HP)
|
99% |
5710
7.62 KIPS |
|
|
Text Classification (Q)
|
93% |
5556
7.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
5635
97.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6090
104.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6173
106.7 IPS |
