MacBook Pro (14-inch, 2023)
Geekbench AI Score
3991
Single Precision Score
26505
Half Precision Score
30075
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | iJACguy |
| Upload Date | June 07 2025 04:10 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 3.47 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1345
250.1 IPS |
|
|
Image Classification (HP)
|
100% |
14680
2.73 KIPS |
|
|
Image Classification (Q)
|
96% |
17632
3.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1584
25.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
19709
319.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
24532
397.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
12190
14.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
106525
124.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
105810
124.0 IPS |
|
|
Object Detection (SP)
|
100% |
1603
127.1 IPS |
|
|
Object Detection (HP)
|
99% |
15713
1.25 KIPS |
|
|
Object Detection (Q)
|
91% |
17943
1.43 KIPS |
|
|
Face Detection (SP)
|
100% |
3648
43.3 IPS |
|
|
Face Detection (HP)
|
100% |
33082
393.1 IPS |
|
|
Face Detection (Q)
|
100% |
45348
538.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5945
45.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
87744
676.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
109367
854.7 IPS |
|
|
Style Transfer (SP)
|
100% |
24562
31.6 IPS |
|
|
Style Transfer (HP)
|
100% |
205247
263.8 IPS |
|
|
Style Transfer (Q)
|
96% |
193770
250.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4905
181.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41988
1.55 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
50297
1.86 KIPS |
|
|
Text Classification (SP)
|
100% |
2334
3.11 KIPS |
|
|
Text Classification (HP)
|
100% |
4025
5.37 KIPS |
|
|
Text Classification (Q)
|
93% |
4116
5.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
4043
69.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3510
60.5 IPS |
|
|
Machine Translation (Q)
|
98% |
3706
64.1 IPS |
