Mac16,9
Geekbench AI Score
5979
Single Precision Score
9220
Half Precision Score
7669
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | MacHammerFan |
| Upload Date | March 14 2025 08:26 AM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
3070
570.9 IPS |
|
|
Image Classification (Q)
|
99% |
3050
568.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2546
41.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3676
59.6 IPS |
|
|
Image Segmentation (Q)
|
100% |
3613
58.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
19287
22.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
32068
37.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
24374
28.6 IPS |
|
|
Object Detection (SP)
|
100% |
2582
204.8 IPS |
|
|
Object Detection (HP)
|
97% |
3891
309.7 IPS |
|
|
Object Detection (Q)
|
94% |
2690
214.4 IPS |
|
|
Face Detection (SP)
|
100% |
4872
57.9 IPS |
|
|
Face Detection (HP)
|
100% |
8226
97.7 IPS |
|
|
Face Detection (Q)
|
100% |
4753
56.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8960
69.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
15044
116.2 IPS |
|
|
Depth Estimation (Q)
|
96% |
15062
116.5 IPS |
|
|
Style Transfer (SP)
|
100% |
37161
47.8 IPS |
|
|
Style Transfer (HP)
|
100% |
53794
69.2 IPS |
|
|
Style Transfer (Q)
|
100% |
53201
68.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7214
266.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9725
359.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5323
197.2 IPS |
|
|
Text Classification (SP)
|
100% |
2978
3.97 KIPS |
|
|
Text Classification (HP)
|
100% |
5344
7.13 KIPS |
|
|
Text Classification (Q)
|
93% |
5314
7.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
6197
106.7 IPS |
|
|
Machine Translation (HP)
|
98% |
9119
157.6 IPS |
|
|
Machine Translation (Q)
|
98% |
9051
156.4 IPS |
