Mac17,6
Geekbench AI Score
29452
Single Precision Score
46343
Half Precision Score
43305
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | mnin |
| Upload Date | March 25 2026 09:14 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
10711
1.99 KIPS |
|
|
Image Classification (HP)
|
100% |
13657
2.54 KIPS |
|
|
Image Classification (Q)
|
97% |
12329
2.30 KIPS |
|
|
Image Segmentation (SP)
|
100% |
27993
453.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
42406
687.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
39030
632.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
130725
152.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
334800
390.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
289766
339.6 IPS |
|
|
Object Detection (SP)
|
100% |
10130
803.5 IPS |
|
|
Object Detection (HP)
|
100% |
14523
1.15 KIPS |
|
|
Object Detection (Q)
|
94% |
13674
1.09 KIPS |
|
|
Face Detection (SP)
|
100% |
49896
592.9 IPS |
|
|
Face Detection (HP)
|
100% |
73489
873.2 IPS |
|
|
Face Detection (Q)
|
100% |
65134
773.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
53439
411.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
87472
673.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
84224
657.6 IPS |
|
|
Style Transfer (SP)
|
100% |
264552
340.1 IPS |
|
|
Style Transfer (HP)
|
100% |
552999
710.9 IPS |
|
|
Style Transfer (Q)
|
96% |
618538
798.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
34731
1.28 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
52503
1.94 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
42905
1.58 KIPS |
|
|
Text Classification (SP)
|
100% |
6087
8.12 KIPS |
|
|
Text Classification (HP)
|
99% |
9791
13.1 KIPS |
|
|
Text Classification (Q)
|
92% |
9756
13.1 KIPS |
|
|
Machine Translation (SP)
|
100% |
8296
142.9 IPS |
|
|
Machine Translation (HP)
|
100% |
8881
153.0 IPS |
|
|
Machine Translation (Q)
|
98% |
8565
148.0 IPS |
