Mac16,9
Geekbench AI Score
5909
Single Precision Score
9515
Half Precision Score
7266
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 10 2025 03:16 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
2184
406.1 IPS |
|
|
Image Classification (HP)
|
100% |
3154
586.6 IPS |
|
|
Image Classification (Q)
|
96% |
2163
403.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2440
39.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3493
56.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3970
64.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
17765
20.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
34447
40.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
27049
31.7 IPS |
|
|
Object Detection (SP)
|
100% |
2646
209.9 IPS |
|
|
Object Detection (HP)
|
97% |
3970
316.0 IPS |
|
|
Object Detection (Q)
|
94% |
2814
224.3 IPS |
|
|
Face Detection (SP)
|
100% |
5275
62.7 IPS |
|
|
Face Detection (HP)
|
100% |
8620
102.4 IPS |
|
|
Face Detection (Q)
|
100% |
4830
57.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8753
67.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
15078
116.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
9836
76.8 IPS |
|
|
Style Transfer (SP)
|
100% |
31227
40.1 IPS |
|
|
Style Transfer (HP)
|
100% |
57654
74.1 IPS |
|
|
Style Transfer (Q)
|
96% |
43626
56.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7065
260.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9643
356.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5474
202.1 IPS |
|
|
Text Classification (SP)
|
100% |
3253
4.34 KIPS |
|
|
Text Classification (HP)
|
99% |
5739
7.66 KIPS |
|
|
Text Classification (Q)
|
93% |
5671
7.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
6260
107.8 IPS |
|
|
Machine Translation (HP)
|
98% |
9741
168.3 IPS |
|
|
Machine Translation (Q)
|
98% |
9757
168.6 IPS |
