Mac17,7
Geekbench AI Score
27455
Single Precision Score
43722
Half Precision Score
40899
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | virtuatony95 |
| Upload Date | March 20 2026 03:03 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M5 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.3.1 (a) (Build 25D771280a) |
| Model | Mac17,7 |
| Model ID | Mac17,7 |
| Motherboard | Mac17,7 |
| 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% |
10471
1.95 KIPS |
|
|
Image Classification (HP)
|
100% |
13373
2.49 KIPS |
|
|
Image Classification (Q)
|
97% |
11813
2.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
27950
453.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
42010
681.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
38974
631.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
130581
152.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
332581
388.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
289604
339.4 IPS |
|
|
Object Detection (SP)
|
100% |
10297
816.7 IPS |
|
|
Object Detection (HP)
|
100% |
14995
1.19 KIPS |
|
|
Object Detection (Q)
|
94% |
14948
1.19 KIPS |
|
|
Face Detection (SP)
|
100% |
49760
591.3 IPS |
|
|
Face Detection (HP)
|
100% |
72163
857.5 IPS |
|
|
Face Detection (Q)
|
100% |
64731
769.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
53322
410.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
88439
681.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
84850
662.4 IPS |
|
|
Style Transfer (SP)
|
100% |
265053
340.7 IPS |
|
|
Style Transfer (HP)
|
100% |
552444
710.2 IPS |
|
|
Style Transfer (Q)
|
96% |
599077
773.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
34869
1.29 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
51687
1.91 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
41725
1.54 KIPS |
|
|
Text Classification (SP)
|
100% |
2965
3.96 KIPS |
|
|
Text Classification (HP)
|
99% |
5492
7.33 KIPS |
|
|
Text Classification (Q)
|
93% |
5572
7.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
8508
146.5 IPS |
|
|
Machine Translation (HP)
|
100% |
9105
156.8 IPS |
|
|
Machine Translation (Q)
|
98% |
8591
148.5 IPS |
