MacBook Pro (16-inch, 2023)
Geekbench AI Score
4265
Single Precision Score
27465
Half Precision Score
30665
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | brocksuire |
| Upload Date | January 28 2025 01:44 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D60) |
| Model | MacBook Pro (16-inch, 2023) |
| Model ID | Mac14,10 |
| Motherboard | Mac14,10 |
| CPU Information | |
|---|---|
| Name | Apple M2 Pro |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M2 Pro |
| Base Frequency | 3.48 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1413
262.8 IPS |
|
|
Image Classification (HP)
|
100% |
14990
2.79 KIPS |
|
|
Image Classification (Q)
|
96% |
17530
3.27 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1765
28.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
19865
322.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
24818
402.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
12965
15.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
106532
124.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
104304
122.3 IPS |
|
|
Object Detection (SP)
|
100% |
1705
135.2 IPS |
|
|
Object Detection (HP)
|
99% |
15569
1.24 KIPS |
|
|
Object Detection (Q)
|
91% |
17366
1.39 KIPS |
|
|
Face Detection (SP)
|
100% |
3764
44.7 IPS |
|
|
Face Detection (HP)
|
100% |
35641
423.5 IPS |
|
|
Face Detection (Q)
|
100% |
46327
550.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6544
50.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
89010
685.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
112148
876.4 IPS |
|
|
Style Transfer (SP)
|
100% |
25215
32.4 IPS |
|
|
Style Transfer (HP)
|
100% |
205363
264.0 IPS |
|
|
Style Transfer (Q)
|
96% |
192643
248.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5196
191.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
43323
1.60 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
51087
1.89 KIPS |
|
|
Text Classification (SP)
|
100% |
2362
3.15 KIPS |
|
|
Text Classification (HP)
|
100% |
4087
5.45 KIPS |
|
|
Text Classification (Q)
|
93% |
4069
5.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
4743
81.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4287
73.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4485
77.5 IPS |
