Mac17,6
Geekbench AI Score
5500
Single Precision Score
9478
Half Precision Score
7250
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | zaib4tsu |
| Upload Date | April 07 2026 02:18 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M5 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.4 (Build 25E246) |
| Model | Mac17,6 |
| Model ID | Mac17,6 |
| Motherboard | Mac17,6 |
| CPU Information | |
|---|---|
| Name | Apple M5 Max |
| Topology | 1 Processor, 18 Cores |
| Identifier | Apple M5 Max |
| Base Frequency | 4.61 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2387
443.9 IPS |
|
|
Image Classification (HP)
|
100% |
3499
650.8 IPS |
|
|
Image Classification (Q)
|
94% |
1936
361.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2602
42.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3061
49.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
4116
66.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10206
11.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
19776
23.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
17100
20.0 IPS |
|
|
Object Detection (SP)
|
100% |
2948
233.8 IPS |
|
|
Object Detection (HP)
|
98% |
4482
356.6 IPS |
|
|
Object Detection (Q)
|
88% |
2911
233.4 IPS |
|
|
Face Detection (SP)
|
100% |
5725
68.0 IPS |
|
|
Face Detection (HP)
|
100% |
10455
124.2 IPS |
|
|
Face Detection (Q)
|
100% |
5336
63.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
9257
71.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
12096
93.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
8490
66.3 IPS |
|
|
Style Transfer (SP)
|
100% |
25191
32.4 IPS |
|
|
Style Transfer (HP)
|
100% |
46533
59.8 IPS |
|
|
Style Transfer (Q)
|
96% |
37186
48.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5821
214.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10562
390.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6263
231.3 IPS |
|
|
Text Classification (SP)
|
99% |
6027
8.04 KIPS |
|
|
Text Classification (HP)
|
100% |
10138
13.5 KIPS |
|
|
Text Classification (Q)
|
92% |
9763
13.1 KIPS |
|
|
Machine Translation (SP)
|
100% |
2894
49.9 IPS |
|
|
Machine Translation (HP)
|
100% |
9780
168.5 IPS |
|
|
Machine Translation (Q)
|
98% |
9824
169.8 IPS |
