Mac16,9
Geekbench AI Score
5572
Single Precision Score
36596
Half Precision Score
49074
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | MyfirstMac58 |
| Upload Date | April 08 2025 01:44 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
2143
398.5 IPS |
|
|
Image Classification (HP)
|
100% |
16974
3.16 KIPS |
|
|
Image Classification (Q)
|
97% |
22182
4.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2351
38.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
22639
367.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
31273
507.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
17899
20.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
122558
143.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
230410
270.1 IPS |
|
|
Object Detection (SP)
|
100% |
2595
205.8 IPS |
|
|
Object Detection (HP)
|
100% |
19328
1.53 KIPS |
|
|
Object Detection (Q)
|
91% |
23393
1.87 KIPS |
|
|
Face Detection (SP)
|
100% |
4833
57.4 IPS |
|
|
Face Detection (HP)
|
100% |
45308
538.4 IPS |
|
|
Face Detection (Q)
|
100% |
57242
680.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8867
68.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
109763
845.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
177480
1.39 KIPS |
|
|
Style Transfer (SP)
|
100% |
26239
33.7 IPS |
|
|
Style Transfer (HP)
|
100% |
231770
297.9 IPS |
|
|
Style Transfer (Q)
|
96% |
295978
381.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6105
225.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
45578
1.68 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
78356
2.89 KIPS |
|
|
Text Classification (SP)
|
100% |
2934
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
5458
7.28 KIPS |
|
|
Text Classification (Q)
|
93% |
5530
7.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
6123
105.5 IPS |
|
|
Machine Translation (HP)
|
100% |
16512
284.4 IPS |
|
|
Machine Translation (Q)
|
98% |
16630
287.4 IPS |
