Mac17,6
Geekbench AI Score
5118
Single Precision Score
44102
Half Precision Score
58337
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| Upload Date | March 06 2026 05:26 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M5 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.3.1 (Build 25D2128) |
| 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% |
2361
439.2 IPS |
|
|
Image Classification (HP)
|
100% |
20542
3.82 KIPS |
|
|
Image Classification (Q)
|
97% |
24413
4.56 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2523
40.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
25972
421.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
36249
587.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11021
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
183236
213.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
337469
395.5 IPS |
|
|
Object Detection (SP)
|
100% |
2879
228.3 IPS |
|
|
Object Detection (HP)
|
100% |
22227
1.76 KIPS |
|
|
Object Detection (Q)
|
91% |
27100
2.17 KIPS |
|
|
Face Detection (SP)
|
100% |
5361
63.7 IPS |
|
|
Face Detection (HP)
|
100% |
49628
589.7 IPS |
|
|
Face Detection (Q)
|
100% |
70655
839.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
9534
73.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
136950
1.06 KIPS |
|
|
Depth Estimation (Q)
|
85% |
202023
1.58 KIPS |
|
|
Style Transfer (SP)
|
100% |
27426
35.3 IPS |
|
|
Style Transfer (HP)
|
100% |
287604
369.7 IPS |
|
|
Style Transfer (Q)
|
96% |
396373
511.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5997
221.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
65689
2.43 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
100980
3.73 KIPS |
|
|
Text Classification (SP)
|
100% |
3059
4.08 KIPS |
|
|
Text Classification (HP)
|
99% |
5463
7.29 KIPS |
|
|
Text Classification (Q)
|
93% |
5489
7.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
2538
43.7 IPS |
|
|
Machine Translation (HP)
|
100% |
18262
314.6 IPS |
|
|
Machine Translation (Q)
|
98% |
17989
310.9 IPS |
