Mac17,7
Geekbench AI Score
5105
Single Precision Score
8848
Half Precision Score
7074
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | alessandrobolo |
| Upload Date | March 19 2026 10:32 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
2387
443.9 IPS |
|
|
Image Classification (HP)
|
100% |
3711
690.2 IPS |
|
|
Image Classification (Q)
|
96% |
2523
471.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2493
40.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3597
58.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
4018
65.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
11173
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
20995
24.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
18090
21.2 IPS |
|
|
Object Detection (SP)
|
100% |
2856
226.6 IPS |
|
|
Object Detection (HP)
|
97% |
4295
341.9 IPS |
|
|
Object Detection (Q)
|
94% |
3011
240.0 IPS |
|
|
Face Detection (SP)
|
100% |
5340
63.5 IPS |
|
|
Face Detection (HP)
|
100% |
8903
105.8 IPS |
|
|
Face Detection (Q)
|
100% |
4933
58.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
9513
73.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
15795
122.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
10883
84.9 IPS |
|
|
Style Transfer (SP)
|
100% |
27347
35.2 IPS |
|
|
Style Transfer (HP)
|
100% |
41977
54.0 IPS |
|
|
Style Transfer (Q)
|
96% |
34262
44.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6049
223.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7229
266.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5233
193.2 IPS |
|
|
Text Classification (SP)
|
100% |
2979
3.98 KIPS |
|
|
Text Classification (HP)
|
99% |
5580
7.45 KIPS |
|
|
Text Classification (Q)
|
93% |
5683
7.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
2532
43.6 IPS |
|
|
Machine Translation (HP)
|
98% |
10268
177.4 IPS |
|
|
Machine Translation (Q)
|
98% |
10396
179.7 IPS |
