MacBook Pro (16-inch, 2023)
Geekbench AI Score
4077
Single Precision Score
6617
Half Precision Score
5163
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | richh- |
| Upload Date | February 05 2025 12:24 AM |
| Views | 5 |
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 | 3.31 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1388
258.0 IPS |
|
|
Image Classification (HP)
|
100% |
2221
413.1 IPS |
|
|
Image Classification (Q)
|
96% |
1593
297.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1730
28.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2598
42.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2852
46.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
12402
14.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
25184
29.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
19340
22.7 IPS |
|
|
Object Detection (SP)
|
100% |
1672
132.6 IPS |
|
|
Object Detection (HP)
|
97% |
2771
220.6 IPS |
|
|
Object Detection (Q)
|
94% |
1956
155.9 IPS |
|
|
Face Detection (SP)
|
100% |
3580
42.5 IPS |
|
|
Face Detection (HP)
|
100% |
5550
65.9 IPS |
|
|
Face Detection (Q)
|
100% |
3273
38.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6053
46.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
11454
88.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7726
60.4 IPS |
|
|
Style Transfer (SP)
|
100% |
24660
31.7 IPS |
|
|
Style Transfer (HP)
|
100% |
37905
48.7 IPS |
|
|
Style Transfer (Q)
|
96% |
29285
37.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4918
181.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6962
257.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4352
160.7 IPS |
|
|
Text Classification (SP)
|
100% |
2284
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3752
5.01 KIPS |
|
|
Text Classification (Q)
|
93% |
3854
5.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
4246
73.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6358
109.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6310
109.0 IPS |
