MacBook Pro (14-inch, 2023)
Geekbench AI Score
12075
Single Precision Score
13300
Half Precision Score
12484
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | September 22 2025 02:25 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.7 (Build 24G222) |
| 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 | 3.48 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5519
1.03 KIPS |
|
|
Image Classification (HP)
|
100% |
5593
1.04 KIPS |
|
|
Image Classification (Q)
|
96% |
5187
968.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
9184
148.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
9207
149.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
8972
145.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
44877
52.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
48879
57.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
47317
55.4 IPS |
|
|
Object Detection (SP)
|
100% |
5050
400.5 IPS |
|
|
Object Detection (HP)
|
100% |
5099
404.5 IPS |
|
|
Object Detection (Q)
|
92% |
4682
373.8 IPS |
|
|
Face Detection (SP)
|
100% |
18148
215.6 IPS |
|
|
Face Detection (HP)
|
100% |
19538
232.2 IPS |
|
|
Face Detection (Q)
|
100% |
16360
194.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
26125
201.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
27400
211.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
25659
200.4 IPS |
|
|
Style Transfer (SP)
|
100% |
79853
102.7 IPS |
|
|
Style Transfer (HP)
|
100% |
86753
111.5 IPS |
|
|
Style Transfer (Q)
|
96% |
84649
109.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17897
660.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19035
702.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16531
610.4 IPS |
|
|
Text Classification (SP)
|
100% |
2339
3.12 KIPS |
|
|
Text Classification (HP)
|
100% |
4077
5.44 KIPS |
|
|
Text Classification (Q)
|
93% |
4051
5.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
3622
62.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3745
64.5 IPS |
|
|
Machine Translation (Q)
|
98% |
3749
64.8 IPS |
