Mac16,5
Geekbench AI Score
5655
Single Precision Score
9397
Half Precision Score
7228
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | September 04 2025 01:24 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| 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 | 4.51 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2132
396.5 IPS |
|
|
Image Classification (HP)
|
100% |
3113
578.9 IPS |
|
|
Image Classification (Q)
|
96% |
2198
410.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2445
39.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3704
60.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3963
64.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
18382
21.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
32829
38.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
25596
30.0 IPS |
|
|
Object Detection (SP)
|
100% |
2611
207.1 IPS |
|
|
Object Detection (HP)
|
97% |
3917
311.8 IPS |
|
|
Object Detection (Q)
|
94% |
2713
216.2 IPS |
|
|
Face Detection (SP)
|
100% |
4956
58.9 IPS |
|
|
Face Detection (HP)
|
100% |
8317
98.8 IPS |
|
|
Face Detection (Q)
|
100% |
4764
56.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8885
68.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
15323
118.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
10844
84.6 IPS |
|
|
Style Transfer (SP)
|
100% |
27479
35.3 IPS |
|
|
Style Transfer (HP)
|
100% |
53770
69.1 IPS |
|
|
Style Transfer (Q)
|
96% |
41040
53.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6114
225.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10273
379.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5964
220.2 IPS |
|
|
Text Classification (SP)
|
100% |
2956
3.95 KIPS |
|
|
Text Classification (HP)
|
100% |
5398
7.20 KIPS |
|
|
Text Classification (Q)
|
93% |
5338
7.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
6114
105.3 IPS |
|
|
Machine Translation (HP)
|
98% |
9536
164.8 IPS |
|
|
Machine Translation (Q)
|
98% |
9538
164.8 IPS |
