MacBook Pro (14-inch, 2023)
Geekbench AI Score
4178
Single Precision Score
26608
Half Precision Score
29525
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | June 17 2025 06:39 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| Model | MacBook Pro (14-inch, 2023) |
| Model ID | Mac14,9 |
| Motherboard | Mac14,9 |
| CPU Information | |
|---|---|
| Name | Apple M2 Pro |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M2 Pro |
| Base Frequency | 3.49 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1403
261.0 IPS |
|
|
Image Classification (HP)
|
100% |
14333
2.67 KIPS |
|
|
Image Classification (Q)
|
96% |
16795
3.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1717
27.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
19313
313.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
24194
392.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
12655
14.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
106090
123.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
103738
121.6 IPS |
|
|
Object Detection (SP)
|
100% |
1684
133.6 IPS |
|
|
Object Detection (HP)
|
99% |
15018
1.19 KIPS |
|
|
Object Detection (Q)
|
91% |
16463
1.32 KIPS |
|
|
Face Detection (SP)
|
100% |
3730
44.3 IPS |
|
|
Face Detection (HP)
|
100% |
34832
413.9 IPS |
|
|
Face Detection (Q)
|
100% |
44712
531.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6393
49.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
88130
679.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
108842
850.5 IPS |
|
|
Style Transfer (SP)
|
100% |
25034
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
203526
261.6 IPS |
|
|
Style Transfer (Q)
|
96% |
191137
246.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5091
188.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
42189
1.56 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
50566
1.87 KIPS |
|
|
Text Classification (SP)
|
100% |
2293
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
4006
5.35 KIPS |
|
|
Text Classification (Q)
|
93% |
3924
5.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
4535
78.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3821
65.8 IPS |
|
|
Machine Translation (Q)
|
98% |
3931
67.9 IPS |
