MacBook Pro (16-inch, 2023)
Geekbench AI Score
4165
Single Precision Score
27015
Half Precision Score
30056
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | vitorcalvi |
| Upload Date | March 07 2025 09:40 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| Model | MacBook Pro (16-inch, 2023) |
| Model ID | Mac14,6 |
| Motherboard | Mac14,6 |
| CPU Information | |
|---|---|
| Name | Apple M2 Max |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M2 Max |
| Base Frequency | 3.66 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1351
251.3 IPS |
|
|
Image Classification (HP)
|
100% |
14602
2.72 KIPS |
|
|
Image Classification (Q)
|
96% |
17209
3.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1651
26.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
19661
318.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
24110
390.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
12728
14.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
106894
124.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
105167
123.3 IPS |
|
|
Object Detection (SP)
|
100% |
1683
133.5 IPS |
|
|
Object Detection (HP)
|
99% |
15619
1.24 KIPS |
|
|
Object Detection (Q)
|
91% |
17409
1.39 KIPS |
|
|
Face Detection (SP)
|
100% |
3727
44.3 IPS |
|
|
Face Detection (HP)
|
100% |
34256
407.0 IPS |
|
|
Face Detection (Q)
|
100% |
43072
511.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6423
49.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
87871
677.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
108932
851.3 IPS |
|
|
Style Transfer (SP)
|
100% |
24989
32.1 IPS |
|
|
Style Transfer (HP)
|
100% |
205856
264.6 IPS |
|
|
Style Transfer (Q)
|
96% |
193077
249.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5097
188.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41435
1.53 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
49892
1.84 KIPS |
|
|
Text Classification (SP)
|
100% |
2329
3.11 KIPS |
|
|
Text Classification (HP)
|
100% |
4018
5.36 KIPS |
|
|
Text Classification (Q)
|
93% |
3999
5.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
4634
79.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4187
72.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4383
75.7 IPS |
