Mac17,7
Geekbench AI Score
29411
Single Precision Score
46462
Half Precision Score
43163
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | aymanjaddaa |
| Upload Date | March 26 2026 01:17 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M5 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.4 (Build 25E246) |
| 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% |
10498
1.95 KIPS |
|
|
Image Classification (HP)
|
100% |
13464
2.50 KIPS |
|
|
Image Classification (Q)
|
97% |
11979
2.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
27978
453.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
42386
687.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
39177
635.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
130853
152.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
335905
391.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
290552
340.5 IPS |
|
|
Object Detection (SP)
|
100% |
10181
807.6 IPS |
|
|
Object Detection (HP)
|
100% |
14524
1.15 KIPS |
|
|
Object Detection (Q)
|
94% |
13629
1.09 KIPS |
|
|
Face Detection (SP)
|
100% |
49894
592.9 IPS |
|
|
Face Detection (HP)
|
100% |
72734
864.2 IPS |
|
|
Face Detection (Q)
|
100% |
65276
775.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
53269
410.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
87522
674.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
86466
675.1 IPS |
|
|
Style Transfer (SP)
|
100% |
265606
341.4 IPS |
|
|
Style Transfer (HP)
|
100% |
553095
711.0 IPS |
|
|
Style Transfer (Q)
|
96% |
613889
792.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
34760
1.28 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
52452
1.94 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
42511
1.57 KIPS |
|
|
Text Classification (SP)
|
100% |
6123
8.17 KIPS |
|
|
Text Classification (HP)
|
100% |
10333
13.8 KIPS |
|
|
Text Classification (Q)
|
93% |
9653
13.0 KIPS |
|
|
Machine Translation (SP)
|
100% |
8239
141.9 IPS |
|
|
Machine Translation (HP)
|
100% |
8825
152.0 IPS |
|
|
Machine Translation (Q)
|
98% |
8495
146.8 IPS |
