Mac16,9
Geekbench AI Score
5982
Single Precision Score
36292
Half Precision Score
48607
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | Joey66 |
| Upload Date | March 30 2025 02:00 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D2082) |
| 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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2133
396.6 IPS |
|
|
Image Classification (HP)
|
100% |
17122
3.18 KIPS |
|
|
Image Classification (Q)
|
97% |
21869
4.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2539
41.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
22562
365.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
31175
505.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
19161
22.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
123293
143.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
230911
270.6 IPS |
|
|
Object Detection (SP)
|
100% |
2598
206.1 IPS |
|
|
Object Detection (HP)
|
100% |
18848
1.50 KIPS |
|
|
Object Detection (Q)
|
91% |
23054
1.84 KIPS |
|
|
Face Detection (SP)
|
100% |
4845
57.6 IPS |
|
|
Face Detection (HP)
|
100% |
45281
538.0 IPS |
|
|
Face Detection (Q)
|
100% |
57126
678.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
9113
70.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
103909
800.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
175537
1.37 KIPS |
|
|
Style Transfer (SP)
|
100% |
37247
47.9 IPS |
|
|
Style Transfer (HP)
|
100% |
232224
298.5 IPS |
|
|
Style Transfer (Q)
|
96% |
296626
382.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7206
266.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
45141
1.67 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
76618
2.83 KIPS |
|
|
Text Classification (SP)
|
100% |
2983
3.98 KIPS |
|
|
Text Classification (HP)
|
100% |
5479
7.31 KIPS |
|
|
Text Classification (Q)
|
93% |
5515
7.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
6164
106.2 IPS |
|
|
Machine Translation (HP)
|
100% |
16340
281.5 IPS |
|
|
Machine Translation (Q)
|
98% |
16141
278.9 IPS |
