Mac17,6
Geekbench AI Score
29492
Single Precision Score
46260
Half Precision Score
43509
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | Xabla |
| Upload Date | March 28 2026 03:43 PM |
| Views | 4 |
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 | 4.60 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10627
1.98 KIPS |
|
|
Image Classification (HP)
|
100% |
13661
2.54 KIPS |
|
|
Image Classification (Q)
|
97% |
12049
2.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
28027
454.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
42500
689.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
39289
636.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
130801
152.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
335922
392.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
291600
341.8 IPS |
|
|
Object Detection (SP)
|
100% |
10173
806.9 IPS |
|
|
Object Detection (HP)
|
100% |
14379
1.14 KIPS |
|
|
Object Detection (Q)
|
94% |
14205
1.13 KIPS |
|
|
Face Detection (SP)
|
100% |
49883
592.7 IPS |
|
|
Face Detection (HP)
|
100% |
73194
869.7 IPS |
|
|
Face Detection (Q)
|
100% |
64904
771.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
53427
411.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
88571
682.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
87895
686.2 IPS |
|
|
Style Transfer (SP)
|
100% |
265033
340.7 IPS |
|
|
Style Transfer (HP)
|
100% |
551050
708.4 IPS |
|
|
Style Transfer (Q)
|
96% |
604988
780.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
34805
1.29 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
52348
1.93 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
42578
1.57 KIPS |
|
|
Text Classification (SP)
|
99% |
6097
8.14 KIPS |
|
|
Text Classification (HP)
|
99% |
9648
12.9 KIPS |
|
|
Text Classification (Q)
|
93% |
9821
13.2 KIPS |
|
|
Machine Translation (SP)
|
100% |
8381
144.4 IPS |
|
|
Machine Translation (HP)
|
100% |
8870
152.8 IPS |
|
|
Machine Translation (Q)
|
98% |
8591
148.5 IPS |
