Mac17,7
Geekbench AI Score
5421
Single Precision Score
9516
Half Precision Score
7306
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | lordfalcon787 |
| Upload Date | April 11 2026 09:47 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M5 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.4.1 (Build 25E253) |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2317
430.9 IPS |
|
|
Image Classification (HP)
|
100% |
3552
660.5 IPS |
|
|
Image Classification (Q)
|
94% |
2143
400.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2529
41.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3081
49.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4019
65.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9991
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19643
22.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
16956
19.9 IPS |
|
|
Object Detection (SP)
|
100% |
2892
229.4 IPS |
|
|
Object Detection (HP)
|
98% |
4445
353.7 IPS |
|
|
Object Detection (Q)
|
88% |
2890
231.6 IPS |
|
|
Face Detection (SP)
|
100% |
5649
67.1 IPS |
|
|
Face Detection (HP)
|
100% |
10288
122.2 IPS |
|
|
Face Detection (Q)
|
100% |
5265
62.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
9137
70.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
12343
95.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
8382
65.5 IPS |
|
|
Style Transfer (SP)
|
100% |
25105
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
46268
59.5 IPS |
|
|
Style Transfer (Q)
|
96% |
36847
47.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5899
217.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10560
389.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6177
228.1 IPS |
|
|
Text Classification (SP)
|
99% |
5933
7.92 KIPS |
|
|
Text Classification (HP)
|
99% |
10561
14.1 KIPS |
|
|
Text Classification (Q)
|
93% |
10453
14.0 KIPS |
|
|
Machine Translation (SP)
|
100% |
2857
49.2 IPS |
|
|
Machine Translation (HP)
|
100% |
9733
167.6 IPS |
|
|
Machine Translation (Q)
|
98% |
9780
169.0 IPS |
