Mac16,9
Geekbench AI Score
5652
Single Precision Score
37492
Half Precision Score
50576
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 06 2025 08:58 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.6 (Build 24G84) |
| 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 | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2138
397.6 IPS |
|
|
Image Classification (HP)
|
100% |
17890
3.33 KIPS |
|
|
Image Classification (Q)
|
97% |
22790
4.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2395
38.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
22734
368.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
31687
513.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
18318
21.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
122779
143.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
230550
270.2 IPS |
|
|
Object Detection (SP)
|
100% |
2616
207.5 IPS |
|
|
Object Detection (HP)
|
100% |
19324
1.53 KIPS |
|
|
Object Detection (Q)
|
91% |
23757
1.90 KIPS |
|
|
Face Detection (SP)
|
100% |
4993
59.3 IPS |
|
|
Face Detection (HP)
|
100% |
45502
540.7 IPS |
|
|
Face Detection (Q)
|
100% |
62494
742.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8887
68.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
110404
850.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
177659
1.39 KIPS |
|
|
Style Transfer (SP)
|
100% |
26768
34.4 IPS |
|
|
Style Transfer (HP)
|
100% |
232080
298.3 IPS |
|
|
Style Transfer (Q)
|
96% |
297993
384.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6129
226.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47238
1.74 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
78745
2.91 KIPS |
|
|
Text Classification (SP)
|
100% |
2964
3.96 KIPS |
|
|
Text Classification (HP)
|
100% |
6044
8.07 KIPS |
|
|
Text Classification (Q)
|
93% |
6034
8.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
6291
108.4 IPS |
|
|
Machine Translation (HP)
|
100% |
17088
294.4 IPS |
|
|
Machine Translation (Q)
|
98% |
17612
304.4 IPS |
