Mac17,6
Geekbench AI Score
5483
Single Precision Score
9397
Half Precision Score
7377
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | Xabla |
| Upload Date | March 28 2026 03:40 PM |
| Views | 2 |
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 | 4.60 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2381
442.9 IPS |
|
|
Image Classification (HP)
|
100% |
3510
652.8 IPS |
|
|
Image Classification (Q)
|
94% |
2264
423.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2502
40.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3068
49.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
4103
66.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10189
11.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
19698
23.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
17122
20.1 IPS |
|
|
Object Detection (SP)
|
100% |
2934
232.7 IPS |
|
|
Object Detection (HP)
|
98% |
4411
351.0 IPS |
|
|
Object Detection (Q)
|
88% |
2934
235.2 IPS |
|
|
Face Detection (SP)
|
100% |
5731
68.1 IPS |
|
|
Face Detection (HP)
|
100% |
10342
122.9 IPS |
|
|
Face Detection (Q)
|
100% |
5335
63.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
9327
71.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
11869
91.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
8464
66.1 IPS |
|
|
Style Transfer (SP)
|
100% |
25305
32.5 IPS |
|
|
Style Transfer (HP)
|
100% |
46641
60.0 IPS |
|
|
Style Transfer (Q)
|
96% |
37309
48.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5837
215.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10499
387.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6275
231.7 IPS |
|
|
Text Classification (SP)
|
100% |
6083
8.12 KIPS |
|
|
Text Classification (HP)
|
99% |
9738
13.0 KIPS |
|
|
Text Classification (Q)
|
92% |
9748
13.1 KIPS |
|
|
Machine Translation (SP)
|
100% |
2876
49.5 IPS |
|
|
Machine Translation (HP)
|
100% |
9806
168.9 IPS |
|
|
Machine Translation (Q)
|
98% |
9935
171.7 IPS |
