Mac16,9
Geekbench AI Score
5605
Single Precision Score
9306
Half Precision Score
7139
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | DVB |
| Upload Date | May 13 2025 01:52 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| 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 | 4.51 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2129
396.0 IPS |
|
|
Image Classification (HP)
|
100% |
3101
576.7 IPS |
|
|
Image Classification (Q)
|
96% |
2196
410.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2350
38.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3588
58.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3927
63.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
18374
21.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
33238
38.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
25233
29.6 IPS |
|
|
Object Detection (SP)
|
100% |
2649
210.1 IPS |
|
|
Object Detection (HP)
|
97% |
3920
312.1 IPS |
|
|
Object Detection (Q)
|
94% |
2693
214.7 IPS |
|
|
Face Detection (SP)
|
100% |
4869
57.9 IPS |
|
|
Face Detection (HP)
|
100% |
8093
96.2 IPS |
|
|
Face Detection (Q)
|
100% |
4673
55.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8881
68.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
14963
115.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
10471
81.7 IPS |
|
|
Style Transfer (SP)
|
100% |
26286
33.8 IPS |
|
|
Style Transfer (HP)
|
100% |
53969
69.4 IPS |
|
|
Style Transfer (Q)
|
96% |
39919
51.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6083
224.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10180
375.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6007
221.8 IPS |
|
|
Text Classification (SP)
|
100% |
2928
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
5410
7.22 KIPS |
|
|
Text Classification (Q)
|
93% |
5331
7.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
6208
106.9 IPS |
|
|
Machine Translation (HP)
|
98% |
9344
161.5 IPS |
|
|
Machine Translation (Q)
|
98% |
9390
162.3 IPS |
