Mac17,6
Geekbench AI Score
29346
Single Precision Score
46626
Half Precision Score
43774
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | geekgrunt |
| Upload Date | March 26 2026 01:54 PM |
| Views | 7 |
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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10411
1.94 KIPS |
|
|
Image Classification (HP)
|
100% |
13649
2.54 KIPS |
|
|
Image Classification (Q)
|
97% |
11984
2.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
28037
454.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
42657
691.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
39192
635.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
130700
152.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
336011
392.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
289719
339.6 IPS |
|
|
Object Detection (SP)
|
100% |
10261
813.9 IPS |
|
|
Object Detection (HP)
|
100% |
14865
1.18 KIPS |
|
|
Object Detection (Q)
|
94% |
14897
1.19 KIPS |
|
|
Face Detection (SP)
|
100% |
49944
593.4 IPS |
|
|
Face Detection (HP)
|
100% |
72620
862.9 IPS |
|
|
Face Detection (Q)
|
100% |
65342
776.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
53448
411.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
87887
677.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
86957
678.9 IPS |
|
|
Style Transfer (SP)
|
100% |
264879
340.5 IPS |
|
|
Style Transfer (HP)
|
100% |
551470
708.9 IPS |
|
|
Style Transfer (Q)
|
96% |
613905
792.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
34752
1.28 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
52264
1.93 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
42674
1.58 KIPS |
|
|
Text Classification (SP)
|
100% |
5937
7.92 KIPS |
|
|
Text Classification (HP)
|
100% |
10174
13.6 KIPS |
|
|
Text Classification (Q)
|
92% |
10024
13.5 KIPS |
|
|
Machine Translation (SP)
|
100% |
8295
142.9 IPS |
|
|
Machine Translation (HP)
|
100% |
8923
153.7 IPS |
|
|
Machine Translation (Q)
|
98% |
8542
147.6 IPS |
