MacBook Pro (14-inch, 2023)
Geekbench AI Score
4335
Single Precision Score
29151
Half Precision Score
32676
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | djoneverett |
| Upload Date | April 07 2026 06:16 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.4 (Build 25E246) |
| 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 | 3.48 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1368
254.4 IPS |
|
|
Image Classification (HP)
|
100% |
14973
2.78 KIPS |
|
|
Image Classification (Q)
|
97% |
18790
3.51 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1646
26.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
20270
328.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
25725
417.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
11656
13.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
106395
124.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
104587
122.6 IPS |
|
|
Object Detection (SP)
|
100% |
1659
131.6 IPS |
|
|
Object Detection (HP)
|
99% |
15579
1.24 KIPS |
|
|
Object Detection (Q)
|
89% |
17614
1.41 KIPS |
|
|
Face Detection (SP)
|
100% |
3602
42.8 IPS |
|
|
Face Detection (HP)
|
100% |
37869
450.0 IPS |
|
|
Face Detection (Q)
|
100% |
51672
614.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6098
47.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
88605
682.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
110639
865.5 IPS |
|
|
Style Transfer (SP)
|
100% |
25119
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
203897
262.1 IPS |
|
|
Style Transfer (Q)
|
96% |
189590
244.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4878
180.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
44598
1.65 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
49070
1.81 KIPS |
|
|
Text Classification (SP)
|
99% |
4588
6.12 KIPS |
|
|
Text Classification (HP)
|
100% |
6903
9.21 KIPS |
|
|
Text Classification (Q)
|
92% |
6726
9.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
4367
75.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4183
72.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4357
75.3 IPS |
