Mac16,9
Geekbench AI Score
6016
Single Precision Score
36677
Half Precision Score
50040
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 10 2025 03:15 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| Model | Mac16,9 |
| Model ID | Mac16,9 |
| Motherboard | Mac16,9 |
| CPU Information | |
|---|---|
| Name | Apple M4 Max |
| Topology | 1 Processor, 16 Cores |
| Identifier | Apple M4 Max |
| Base Frequency | 4.51 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2196
408.4 IPS |
|
|
Image Classification (HP)
|
100% |
17443
3.24 KIPS |
|
|
Image Classification (Q)
|
97% |
21109
3.94 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2432
39.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
23170
375.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
32229
522.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
18443
21.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
122302
142.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
231057
270.8 IPS |
|
|
Object Detection (SP)
|
100% |
2726
216.2 IPS |
|
|
Object Detection (HP)
|
100% |
19167
1.52 KIPS |
|
|
Object Detection (Q)
|
91% |
24291
1.94 KIPS |
|
|
Face Detection (SP)
|
100% |
5336
63.4 IPS |
|
|
Face Detection (HP)
|
100% |
44207
525.3 IPS |
|
|
Face Detection (Q)
|
100% |
63015
748.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
9025
69.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
103181
794.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
177270
1.39 KIPS |
|
|
Style Transfer (SP)
|
100% |
31586
40.6 IPS |
|
|
Style Transfer (HP)
|
100% |
232676
299.1 IPS |
|
|
Style Transfer (Q)
|
96% |
320752
413.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7069
261.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48104
1.78 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
78048
2.88 KIPS |
|
|
Text Classification (SP)
|
100% |
3275
4.37 KIPS |
|
|
Text Classification (HP)
|
99% |
5644
7.53 KIPS |
|
|
Text Classification (Q)
|
93% |
5630
7.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
6574
113.2 IPS |
|
|
Machine Translation (HP)
|
100% |
16138
278.0 IPS |
|
|
Machine Translation (Q)
|
98% |
16376
283.0 IPS |
