MacBook Pro (14-inch, 2023)
Geekbench AI Score
4180
Single Precision Score
27333
Half Precision Score
30188
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | February 17 2025 06:31 PM |
| Views | 2 |
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 (14-inch, 2023) |
| Model ID | Mac14,9 |
| Motherboard | Mac14,9 |
| CPU Information | |
|---|---|
| Name | Apple M2 Pro |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M2 Pro |
| Base Frequency | 3.47 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1395
259.5 IPS |
|
|
Image Classification (HP)
|
100% |
15253
2.84 KIPS |
|
|
Image Classification (Q)
|
96% |
17294
3.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1723
27.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
19745
320.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
24660
399.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
12708
14.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
106985
124.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
105186
123.3 IPS |
|
|
Object Detection (SP)
|
100% |
1691
134.2 IPS |
|
|
Object Detection (HP)
|
99% |
16249
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
16911
1.35 KIPS |
|
|
Face Detection (SP)
|
100% |
3728
44.3 IPS |
|
|
Face Detection (HP)
|
100% |
35415
420.8 IPS |
|
|
Face Detection (Q)
|
100% |
46333
550.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6380
49.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
87762
676.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
109553
856.1 IPS |
|
|
Style Transfer (SP)
|
100% |
24863
32.0 IPS |
|
|
Style Transfer (HP)
|
100% |
204671
263.1 IPS |
|
|
Style Transfer (Q)
|
96% |
191572
247.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5133
189.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41648
1.54 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
48926
1.81 KIPS |
|
|
Text Classification (SP)
|
100% |
2315
3.09 KIPS |
|
|
Text Classification (HP)
|
100% |
3985
5.32 KIPS |
|
|
Text Classification (Q)
|
93% |
3960
5.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
4490
77.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4211
72.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4399
76.0 IPS |
