Mac16,9
Geekbench AI Score
5601
Single Precision Score
9335
Half Precision Score
7174
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | l3uzz |
| Upload Date | May 19 2025 12:43 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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% |
2139
397.7 IPS |
|
|
Image Classification (HP)
|
100% |
3099
576.4 IPS |
|
|
Image Classification (Q)
|
96% |
2195
409.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2344
38.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3605
58.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3980
64.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
18070
21.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
32668
38.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
25309
29.7 IPS |
|
|
Object Detection (SP)
|
100% |
2641
209.5 IPS |
|
|
Object Detection (HP)
|
97% |
3877
308.6 IPS |
|
|
Object Detection (Q)
|
94% |
2693
214.6 IPS |
|
|
Face Detection (SP)
|
100% |
4931
58.6 IPS |
|
|
Face Detection (HP)
|
100% |
8151
96.8 IPS |
|
|
Face Detection (Q)
|
100% |
4721
56.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8850
68.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
15188
117.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
10530
82.2 IPS |
|
|
Style Transfer (SP)
|
100% |
26061
33.5 IPS |
|
|
Style Transfer (HP)
|
100% |
54248
69.7 IPS |
|
|
Style Transfer (Q)
|
96% |
39932
51.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6107
225.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10336
381.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5884
217.3 IPS |
|
|
Text Classification (SP)
|
100% |
2972
3.97 KIPS |
|
|
Text Classification (HP)
|
100% |
5457
7.28 KIPS |
|
|
Text Classification (Q)
|
93% |
5454
7.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
6160
106.1 IPS |
|
|
Machine Translation (HP)
|
98% |
9383
162.1 IPS |
|
|
Machine Translation (Q)
|
98% |
9523
164.6 IPS |
