MacBook Pro (14-inch, 2023)
Geekbench AI Score
4227
Single Precision Score
27067
Half Precision Score
30360
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | Venturouster17 |
| Upload Date | September 03 2025 05:19 PM |
| Views | 8 |
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, 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% |
1416
263.3 IPS |
|
|
Image Classification (HP)
|
100% |
14110
2.62 KIPS |
|
|
Image Classification (Q)
|
96% |
18958
3.54 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1661
26.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
20168
326.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
24883
403.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
12865
15.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
105679
123.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
104603
122.6 IPS |
|
|
Object Detection (SP)
|
100% |
1722
136.6 IPS |
|
|
Object Detection (HP)
|
99% |
15064
1.20 KIPS |
|
|
Object Detection (Q)
|
91% |
16808
1.34 KIPS |
|
|
Face Detection (SP)
|
100% |
3719
44.2 IPS |
|
|
Face Detection (HP)
|
100% |
36020
428.0 IPS |
|
|
Face Detection (Q)
|
100% |
46329
550.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6379
49.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
88311
680.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
108012
844.1 IPS |
|
|
Style Transfer (SP)
|
100% |
26077
33.5 IPS |
|
|
Style Transfer (HP)
|
100% |
206213
265.1 IPS |
|
|
Style Transfer (Q)
|
96% |
193825
250.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5068
187.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
42503
1.57 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
48492
1.79 KIPS |
|
|
Text Classification (SP)
|
100% |
2444
3.26 KIPS |
|
|
Text Classification (HP)
|
99% |
4060
5.42 KIPS |
|
|
Text Classification (Q)
|
93% |
3985
5.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
4564
78.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4117
70.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4280
74.0 IPS |
