Mac16,5
Geekbench AI Score
5906
Single Precision Score
9394
Half Precision Score
7240
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 13 2025 08:20 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 | Mac16,5 |
| Model ID | Mac16,5 |
| Motherboard | Mac16,5 |
| CPU Information | |
|---|---|
| Name | Apple M4 Max |
| Topology | 1 Processor, 16 Cores |
| Identifier | Apple M4 Max |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2181
405.6 IPS |
|
|
Image Classification (HP)
|
100% |
3090
574.7 IPS |
|
|
Image Classification (Q)
|
96% |
2162
403.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2449
39.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3508
56.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3963
64.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
18100
21.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
34401
40.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
27134
31.8 IPS |
|
|
Object Detection (SP)
|
100% |
2609
207.0 IPS |
|
|
Object Detection (HP)
|
97% |
3946
314.2 IPS |
|
|
Object Detection (Q)
|
94% |
2788
222.2 IPS |
|
|
Face Detection (SP)
|
100% |
5159
61.3 IPS |
|
|
Face Detection (HP)
|
100% |
8462
100.5 IPS |
|
|
Face Detection (Q)
|
100% |
4820
57.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8929
68.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
15034
116.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
10280
80.2 IPS |
|
|
Style Transfer (SP)
|
100% |
30961
39.8 IPS |
|
|
Style Transfer (HP)
|
100% |
56980
73.2 IPS |
|
|
Style Transfer (Q)
|
96% |
43631
56.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7186
265.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9653
356.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5479
202.3 IPS |
|
|
Text Classification (SP)
|
100% |
3213
4.29 KIPS |
|
|
Text Classification (HP)
|
99% |
5541
7.40 KIPS |
|
|
Text Classification (Q)
|
93% |
5518
7.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
6218
107.1 IPS |
|
|
Machine Translation (HP)
|
98% |
9387
162.2 IPS |
|
|
Machine Translation (Q)
|
98% |
9341
161.4 IPS |
