Mac17,6
Geekbench AI Score
26935
Single Precision Score
43315
Half Precision Score
40090
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| Upload Date | March 06 2026 03:18 PM |
| Views | 50 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 4.59 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10277
1.91 KIPS |
|
|
Image Classification (HP)
|
100% |
13077
2.43 KIPS |
|
|
Image Classification (Q)
|
97% |
11740
2.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
27777
450.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
41883
679.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
38398
622.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
127422
148.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
324416
378.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
276678
324.3 IPS |
|
|
Object Detection (SP)
|
100% |
9725
771.4 IPS |
|
|
Object Detection (HP)
|
100% |
15150
1.20 KIPS |
|
|
Object Detection (Q)
|
94% |
14214
1.13 KIPS |
|
|
Face Detection (SP)
|
100% |
48139
572.0 IPS |
|
|
Face Detection (HP)
|
100% |
70371
836.2 IPS |
|
|
Face Detection (Q)
|
100% |
61741
733.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
51567
397.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
82413
634.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
82172
641.5 IPS |
|
|
Style Transfer (SP)
|
100% |
265027
340.7 IPS |
|
|
Style Transfer (HP)
|
100% |
556057
714.8 IPS |
|
|
Style Transfer (Q)
|
96% |
599284
773.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
34802
1.29 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
51447
1.90 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
41704
1.54 KIPS |
|
|
Text Classification (SP)
|
100% |
3024
4.04 KIPS |
|
|
Text Classification (HP)
|
99% |
5784
7.72 KIPS |
|
|
Text Classification (Q)
|
93% |
5602
7.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
8209
141.4 IPS |
|
|
Machine Translation (HP)
|
100% |
9001
155.0 IPS |
|
|
Machine Translation (Q)
|
98% |
8518
147.2 IPS |
