MacBook Pro (14-inch, 2023)
Geekbench AI Score
10360
Single Precision Score
11513
Half Precision Score
10567
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | iJACguy |
| Upload Date | June 07 2025 04:08 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 | 3.42 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5091
946.7 IPS |
|
|
Image Classification (HP)
|
100% |
5207
968.3 IPS |
|
|
Image Classification (Q)
|
96% |
4873
910.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
8193
132.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
8179
132.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
7812
126.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
36857
43.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
40401
47.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
39119
45.8 IPS |
|
|
Object Detection (SP)
|
100% |
4830
383.1 IPS |
|
|
Object Detection (HP)
|
100% |
4865
385.9 IPS |
|
|
Object Detection (Q)
|
92% |
4536
362.1 IPS |
|
|
Face Detection (SP)
|
100% |
15986
190.0 IPS |
|
|
Face Detection (HP)
|
100% |
17374
206.4 IPS |
|
|
Face Detection (Q)
|
100% |
14541
172.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
23863
183.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
25097
193.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
23002
179.7 IPS |
|
|
Style Transfer (SP)
|
100% |
68199
87.7 IPS |
|
|
Style Transfer (HP)
|
100% |
75560
97.1 IPS |
|
|
Style Transfer (Q)
|
96% |
73272
94.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13371
493.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14343
529.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12414
458.4 IPS |
|
|
Text Classification (SP)
|
100% |
2347
3.13 KIPS |
|
|
Text Classification (HP)
|
100% |
4051
5.41 KIPS |
|
|
Text Classification (Q)
|
93% |
4023
5.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
2351
40.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2554
44.0 IPS |
|
|
Machine Translation (Q)
|
98% |
2100
36.3 IPS |
