Mac16,9
Geekbench AI Score
5581
Single Precision Score
36506
Half Precision Score
49170
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | Metalnib |
| Upload Date | May 20 2025 03:09 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 4.50 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2134
396.8 IPS |
|
|
Image Classification (HP)
|
100% |
17296
3.22 KIPS |
|
|
Image Classification (Q)
|
97% |
22201
4.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2337
37.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
22624
366.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
31255
506.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
18250
21.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
122576
143.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
228856
268.2 IPS |
|
|
Object Detection (SP)
|
100% |
2618
207.7 IPS |
|
|
Object Detection (HP)
|
100% |
18950
1.50 KIPS |
|
|
Object Detection (Q)
|
91% |
23918
1.91 KIPS |
|
|
Face Detection (SP)
|
100% |
4865
57.8 IPS |
|
|
Face Detection (HP)
|
100% |
45314
538.4 IPS |
|
|
Face Detection (Q)
|
100% |
58141
690.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8842
68.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
105069
809.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
177399
1.39 KIPS |
|
|
Style Transfer (SP)
|
100% |
26456
34.0 IPS |
|
|
Style Transfer (HP)
|
100% |
231876
298.1 IPS |
|
|
Style Transfer (Q)
|
96% |
297994
384.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6059
223.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
45623
1.68 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
76097
2.81 KIPS |
|
|
Text Classification (SP)
|
100% |
2934
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
5579
7.45 KIPS |
|
|
Text Classification (Q)
|
93% |
5500
7.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
6092
104.9 IPS |
|
|
Machine Translation (HP)
|
100% |
16462
283.6 IPS |
|
|
Machine Translation (Q)
|
98% |
16907
292.2 IPS |
