Mac16,9
Geekbench AI Score
6020
Single Precision Score
36589
Half Precision Score
49314
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| Upload Date | August 28 2025 04:13 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5349a) |
| 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% |
2186
406.6 IPS |
|
|
Image Classification (HP)
|
100% |
17370
3.23 KIPS |
|
|
Image Classification (Q)
|
97% |
21205
3.96 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2483
40.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
23127
374.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
32016
519.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
18445
21.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
122254
142.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
230408
270.1 IPS |
|
|
Object Detection (SP)
|
100% |
2720
215.7 IPS |
|
|
Object Detection (HP)
|
100% |
19526
1.55 KIPS |
|
|
Object Detection (Q)
|
91% |
24066
1.92 KIPS |
|
|
Face Detection (SP)
|
100% |
5348
63.5 IPS |
|
|
Face Detection (HP)
|
100% |
44280
526.1 IPS |
|
|
Face Detection (Q)
|
100% |
63146
750.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9075
69.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
108393
835.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
174931
1.37 KIPS |
|
|
Style Transfer (SP)
|
100% |
31676
40.7 IPS |
|
|
Style Transfer (HP)
|
100% |
231576
297.7 IPS |
|
|
Style Transfer (Q)
|
96% |
318338
410.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7035
259.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47691
1.76 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
76598
2.83 KIPS |
|
|
Text Classification (SP)
|
100% |
3168
4.23 KIPS |
|
|
Text Classification (HP)
|
99% |
5384
7.19 KIPS |
|
|
Text Classification (Q)
|
93% |
5347
7.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
6701
115.4 IPS |
|
|
Machine Translation (HP)
|
100% |
15715
270.7 IPS |
|
|
Machine Translation (Q)
|
98% |
15691
271.2 IPS |
