Mac16,9
Geekbench AI Score
5554
Single Precision Score
9279
Half Precision Score
7144
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | MyfirstMac58 |
| Upload Date | April 08 2025 01:36 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E248) |
| Model | Mac16,9 |
| Model ID | Mac16,9 |
| Motherboard | Mac16,9 |
| CPU Information | |
|---|---|
| Name | Apple M4 Max |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M4 Max |
| Base Frequency | 4.51 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2142
398.4 IPS |
|
|
Image Classification (HP)
|
100% |
3106
577.6 IPS |
|
|
Image Classification (Q)
|
96% |
2198
410.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2334
37.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3609
58.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3958
64.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
17677
20.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
32594
38.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
25097
29.4 IPS |
|
|
Object Detection (SP)
|
100% |
2591
205.5 IPS |
|
|
Object Detection (HP)
|
97% |
3917
311.9 IPS |
|
|
Object Detection (Q)
|
94% |
2719
216.7 IPS |
|
|
Face Detection (SP)
|
100% |
4863
57.8 IPS |
|
|
Face Detection (HP)
|
100% |
8267
98.2 IPS |
|
|
Face Detection (Q)
|
100% |
4725
56.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8869
68.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
15009
116.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
10420
81.3 IPS |
|
|
Style Transfer (SP)
|
100% |
25840
33.2 IPS |
|
|
Style Transfer (HP)
|
100% |
51845
66.6 IPS |
|
|
Style Transfer (Q)
|
96% |
39942
51.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6143
226.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10194
376.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5932
219.0 IPS |
|
|
Text Classification (SP)
|
100% |
2936
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
5383
7.18 KIPS |
|
|
Text Classification (Q)
|
93% |
5396
7.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
6070
104.6 IPS |
|
|
Machine Translation (HP)
|
98% |
9376
162.0 IPS |
|
|
Machine Translation (Q)
|
98% |
9276
160.3 IPS |
