Mac17,7
Geekbench AI Score
5424
Single Precision Score
47835
Half Precision Score
65006
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | lordfalcon787 |
| Upload Date | April 11 2026 09:42 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
2343
435.8 IPS |
|
|
Image Classification (HP)
|
100% |
20311
3.78 KIPS |
|
|
Image Classification (Q)
|
97% |
27083
5.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2506
40.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
26618
431.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
38068
617.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9948
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
184091
214.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
338649
396.9 IPS |
|
|
Object Detection (SP)
|
100% |
2904
230.4 IPS |
|
|
Object Detection (HP)
|
100% |
23640
1.88 KIPS |
|
|
Object Detection (Q)
|
89% |
29262
2.34 KIPS |
|
|
Face Detection (SP)
|
100% |
5653
67.2 IPS |
|
|
Face Detection (HP)
|
100% |
51357
610.2 IPS |
|
|
Face Detection (Q)
|
100% |
78549
933.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9193
70.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
139252
1.07 KIPS |
|
|
Depth Estimation (Q)
|
85% |
220574
1.72 KIPS |
|
|
Style Transfer (SP)
|
100% |
25141
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
291023
374.1 IPS |
|
|
Style Transfer (Q)
|
96% |
371024
478.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5830
215.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
66854
2.47 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
105140
3.88 KIPS |
|
|
Text Classification (SP)
|
100% |
6001
8.01 KIPS |
|
|
Text Classification (HP)
|
100% |
9789
13.1 KIPS |
|
|
Text Classification (Q)
|
92% |
9793
13.2 KIPS |
|
|
Machine Translation (SP)
|
100% |
2847
49.0 IPS |
|
|
Machine Translation (HP)
|
100% |
19577
337.2 IPS |
|
|
Machine Translation (Q)
|
98% |
19928
344.4 IPS |
