Deepslate (14" M5 Max MBP) Mac17,7 Mac17,7
Geekbench AI Score
27741
Single Precision Score
44166
Half Precision Score
41107
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | nugget |
| Upload Date | March 16 2026 06:58 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M5 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.3.1 (Build 25D2128) |
| Model | Mac17,7 |
| Model ID | Mac17,7 |
| Motherboard | Mac17,7 |
| CPU Information | |
|---|---|
| Name | Apple M5 Max |
| Topology | 1 Processor, 18 Cores |
| Identifier | Apple M5 Max |
| Base Frequency | 4.61 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10981
2.04 KIPS |
|
|
Image Classification (HP)
|
100% |
13780
2.56 KIPS |
|
|
Image Classification (Q)
|
97% |
12242
2.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
28211
457.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
42236
684.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
39254
636.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
130901
152.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
335313
391.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
287725
337.2 IPS |
|
|
Object Detection (SP)
|
100% |
10669
846.3 IPS |
|
|
Object Detection (HP)
|
100% |
15119
1.20 KIPS |
|
|
Object Detection (Q)
|
94% |
14617
1.17 KIPS |
|
|
Face Detection (SP)
|
100% |
49890
592.8 IPS |
|
|
Face Detection (HP)
|
100% |
72613
862.8 IPS |
|
|
Face Detection (Q)
|
100% |
64889
771.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
53426
411.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
91329
703.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
85911
670.7 IPS |
|
|
Style Transfer (SP)
|
100% |
266105
342.1 IPS |
|
|
Style Transfer (HP)
|
100% |
553253
711.2 IPS |
|
|
Style Transfer (Q)
|
96% |
614321
792.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
34777
1.28 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
52081
1.92 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
41712
1.54 KIPS |
|
|
Text Classification (SP)
|
100% |
2973
3.97 KIPS |
|
|
Text Classification (HP)
|
99% |
5463
7.29 KIPS |
|
|
Text Classification (Q)
|
93% |
5443
7.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
8508
146.6 IPS |
|
|
Machine Translation (HP)
|
100% |
9169
157.9 IPS |
|
|
Machine Translation (Q)
|
98% |
8768
151.5 IPS |
