MacBook Pro (16-inch, 2023)
Geekbench AI Score
4168
Single Precision Score
26867
Half Precision Score
30331
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | kngo |
| Upload Date | January 25 2025 12:38 AM |
| Views | 2 |
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% |
1399
260.1 IPS |
|
|
Image Classification (HP)
|
100% |
14165
2.63 KIPS |
|
|
Image Classification (Q)
|
96% |
16841
3.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1747
28.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
19463
315.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
24691
400.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
12919
15.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
105961
123.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
104489
122.5 IPS |
|
|
Object Detection (SP)
|
100% |
1694
134.4 IPS |
|
|
Object Detection (HP)
|
99% |
15777
1.26 KIPS |
|
|
Object Detection (Q)
|
91% |
17689
1.41 KIPS |
|
|
Face Detection (SP)
|
100% |
3677
43.7 IPS |
|
|
Face Detection (HP)
|
100% |
34356
408.2 IPS |
|
|
Face Detection (Q)
|
100% |
47036
558.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6420
49.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
88024
678.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
110956
867.1 IPS |
|
|
Style Transfer (SP)
|
100% |
24884
32.0 IPS |
|
|
Style Transfer (HP)
|
100% |
206402
265.3 IPS |
|
|
Style Transfer (Q)
|
96% |
189680
244.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5094
188.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41275
1.52 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
49354
1.82 KIPS |
|
|
Text Classification (SP)
|
100% |
2326
3.11 KIPS |
|
|
Text Classification (HP)
|
100% |
3985
5.32 KIPS |
|
|
Text Classification (Q)
|
93% |
4036
5.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
4256
73.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4143
71.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4349
75.2 IPS |
