MacBook Pro (14-inch, 2023)
Geekbench AI Score
4197
Single Precision Score
27269
Half Precision Score
30604
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| Upload Date | August 31 2025 07:06 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5349a) |
| 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% |
1418
263.8 IPS |
|
|
Image Classification (HP)
|
100% |
14080
2.62 KIPS |
|
|
Image Classification (Q)
|
96% |
17855
3.33 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1689
27.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
20106
325.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
25013
405.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
12669
14.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
106736
124.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
106125
124.4 IPS |
|
|
Object Detection (SP)
|
100% |
1641
130.2 IPS |
|
|
Object Detection (HP)
|
99% |
15507
1.23 KIPS |
|
|
Object Detection (Q)
|
91% |
16801
1.34 KIPS |
|
|
Face Detection (SP)
|
100% |
3676
43.7 IPS |
|
|
Face Detection (HP)
|
100% |
35453
421.3 IPS |
|
|
Face Detection (Q)
|
100% |
47173
560.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6341
48.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
88841
684.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
111286
869.7 IPS |
|
|
Style Transfer (SP)
|
100% |
25933
33.3 IPS |
|
|
Style Transfer (HP)
|
100% |
206502
265.5 IPS |
|
|
Style Transfer (Q)
|
96% |
193373
249.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4988
184.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
44763
1.65 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
52129
1.92 KIPS |
|
|
Text Classification (SP)
|
100% |
2430
3.24 KIPS |
|
|
Text Classification (HP)
|
99% |
4107
5.48 KIPS |
|
|
Text Classification (Q)
|
93% |
3989
5.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
4659
80.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4058
69.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4289
74.1 IPS |
