Mac16,9
Geekbench AI Score
5579
Single Precision Score
36491
Half Precision Score
50531
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | ioanton |
| Upload Date | July 06 2025 06:39 AM |
| Views | 9 |
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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2118
393.9 IPS |
|
|
Image Classification (HP)
|
100% |
17311
3.22 KIPS |
|
|
Image Classification (Q)
|
97% |
21729
4.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2346
38.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
22697
367.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
31407
509.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
18086
21.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
122576
143.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
230240
269.9 IPS |
|
|
Object Detection (SP)
|
100% |
2521
200.0 IPS |
|
|
Object Detection (HP)
|
100% |
19869
1.58 KIPS |
|
|
Object Detection (Q)
|
91% |
24259
1.94 KIPS |
|
|
Face Detection (SP)
|
100% |
4897
58.2 IPS |
|
|
Face Detection (HP)
|
100% |
41849
497.3 IPS |
|
|
Face Detection (Q)
|
100% |
67659
803.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8878
68.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
104841
807.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
179605
1.40 KIPS |
|
|
Style Transfer (SP)
|
100% |
26715
34.3 IPS |
|
|
Style Transfer (HP)
|
100% |
233268
299.9 IPS |
|
|
Style Transfer (Q)
|
96% |
298335
385.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6093
225.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46355
1.71 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
77948
2.88 KIPS |
|
|
Text Classification (SP)
|
100% |
2948
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
5620
7.50 KIPS |
|
|
Text Classification (Q)
|
93% |
6112
8.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
6191
106.6 IPS |
|
|
Machine Translation (HP)
|
100% |
16410
282.7 IPS |
|
|
Machine Translation (Q)
|
98% |
16488
284.9 IPS |
