Mac17,6
Geekbench AI Score
27528
Single Precision Score
43936
Half Precision Score
40986
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | mprimeaux |
| Upload Date | March 18 2026 08:33 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M5 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.3.1 (Build 25D2128) |
| Model | Mac17,6 |
| Model ID | Mac17,6 |
| Motherboard | Mac17,6 |
| 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% |
10407
1.94 KIPS |
|
|
Image Classification (HP)
|
100% |
13499
2.51 KIPS |
|
|
Image Classification (Q)
|
97% |
12068
2.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
27985
453.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
42332
686.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
38936
631.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
130515
152.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
334695
390.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
287990
337.5 IPS |
|
|
Object Detection (SP)
|
100% |
10272
814.8 IPS |
|
|
Object Detection (HP)
|
100% |
15580
1.24 KIPS |
|
|
Object Detection (Q)
|
94% |
15029
1.20 KIPS |
|
|
Face Detection (SP)
|
100% |
49665
590.1 IPS |
|
|
Face Detection (HP)
|
100% |
71925
854.6 IPS |
|
|
Face Detection (Q)
|
100% |
62636
744.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
53400
411.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
85709
660.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
86165
672.7 IPS |
|
|
Style Transfer (SP)
|
100% |
265774
341.7 IPS |
|
|
Style Transfer (HP)
|
100% |
547578
703.9 IPS |
|
|
Style Transfer (Q)
|
96% |
607925
784.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
34872
1.29 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
52239
1.93 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
41713
1.54 KIPS |
|
|
Text Classification (SP)
|
100% |
3040
4.06 KIPS |
|
|
Text Classification (HP)
|
99% |
5581
7.45 KIPS |
|
|
Text Classification (Q)
|
93% |
5534
7.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
8568
147.6 IPS |
|
|
Machine Translation (HP)
|
100% |
9142
157.5 IPS |
|
|
Machine Translation (Q)
|
98% |
8685
150.1 IPS |
