MacBook Pro (14-inch, 2023)
Geekbench AI Score
4188
Single Precision Score
26754
Half Precision Score
30036
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | ddalledo |
| Upload Date | January 22 2025 12:32 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 24D5055b) |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1399
260.1 IPS |
|
|
Image Classification (HP)
|
100% |
13711
2.55 KIPS |
|
|
Image Classification (Q)
|
96% |
16983
3.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1712
27.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
19644
318.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
24661
399.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
12924
15.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
105624
123.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
104229
122.2 IPS |
|
|
Object Detection (SP)
|
100% |
1698
134.7 IPS |
|
|
Object Detection (HP)
|
99% |
15395
1.22 KIPS |
|
|
Object Detection (Q)
|
91% |
17154
1.37 KIPS |
|
|
Face Detection (SP)
|
100% |
3685
43.8 IPS |
|
|
Face Detection (HP)
|
100% |
35626
423.3 IPS |
|
|
Face Detection (Q)
|
100% |
46308
550.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6421
49.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
87164
671.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
110196
861.1 IPS |
|
|
Style Transfer (SP)
|
100% |
24822
31.9 IPS |
|
|
Style Transfer (HP)
|
100% |
202000
259.7 IPS |
|
|
Style Transfer (Q)
|
96% |
191218
246.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5087
187.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
42323
1.56 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
49543
1.83 KIPS |
|
|
Text Classification (SP)
|
100% |
2297
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
3878
5.18 KIPS |
|
|
Text Classification (Q)
|
93% |
3859
5.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
4611
79.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4167
71.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4278
73.9 IPS |
