MacBook Pro (16-inch, 2023)
Geekbench AI Score
4157
Single Precision Score
6816
Half Precision Score
5360
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | richh- |
| Upload Date | February 07 2025 03:43 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D60) |
| 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 | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1402
260.7 IPS |
|
|
Image Classification (HP)
|
100% |
2287
425.3 IPS |
|
|
Image Classification (Q)
|
96% |
1693
316.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1757
28.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2701
43.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3048
49.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
12947
15.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
24706
28.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
19253
22.6 IPS |
|
|
Object Detection (SP)
|
100% |
1641
130.2 IPS |
|
|
Object Detection (HP)
|
97% |
2736
217.8 IPS |
|
|
Object Detection (Q)
|
94% |
1992
158.8 IPS |
|
|
Face Detection (SP)
|
100% |
3651
43.4 IPS |
|
|
Face Detection (HP)
|
100% |
5962
70.8 IPS |
|
|
Face Detection (Q)
|
100% |
3413
40.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6094
47.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
12082
93.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
8219
64.3 IPS |
|
|
Style Transfer (SP)
|
100% |
24213
31.1 IPS |
|
|
Style Transfer (HP)
|
100% |
38530
49.5 IPS |
|
|
Style Transfer (Q)
|
96% |
29828
38.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5106
188.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7141
263.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4453
164.4 IPS |
|
|
Text Classification (SP)
|
100% |
2348
3.13 KIPS |
|
|
Text Classification (HP)
|
100% |
4022
5.37 KIPS |
|
|
Text Classification (Q)
|
93% |
4024
5.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
4564
78.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6506
112.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6606
114.2 IPS |
