Mac16,9
Geekbench AI Score
5951
Single Precision Score
9175
Half Precision Score
7045
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | everestsky |
| Upload Date | June 14 2025 06:19 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D2059) |
| 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 | 4.50 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2133
396.7 IPS |
|
|
Image Classification (HP)
|
100% |
3097
576.0 IPS |
|
|
Image Classification (Q)
|
96% |
2200
410.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2544
41.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3633
58.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4001
64.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
19149
22.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
32035
37.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
24781
29.0 IPS |
|
|
Object Detection (SP)
|
100% |
2587
205.2 IPS |
|
|
Object Detection (HP)
|
97% |
3901
310.6 IPS |
|
|
Object Detection (Q)
|
94% |
2691
214.5 IPS |
|
|
Face Detection (SP)
|
100% |
4767
56.6 IPS |
|
|
Face Detection (HP)
|
100% |
8007
95.1 IPS |
|
|
Face Detection (Q)
|
100% |
4695
55.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
9022
69.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
14955
115.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
10475
81.8 IPS |
|
|
Style Transfer (SP)
|
100% |
37250
47.9 IPS |
|
|
Style Transfer (HP)
|
100% |
54016
69.4 IPS |
|
|
Style Transfer (Q)
|
96% |
39801
51.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7221
266.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9688
357.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5466
201.8 IPS |
|
|
Text Classification (SP)
|
100% |
2983
3.98 KIPS |
|
|
Text Classification (HP)
|
100% |
5329
7.11 KIPS |
|
|
Text Classification (Q)
|
93% |
5311
7.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
6006
103.5 IPS |
|
|
Machine Translation (HP)
|
98% |
9010
155.7 IPS |
|
|
Machine Translation (Q)
|
98% |
9030
156.0 IPS |
