MacBook Pro (14-inch, 2023)
Geekbench AI Score
4074
Single Precision Score
27544
Half Precision Score
30336
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | Jetsada |
| Upload Date | September 20 2025 06:58 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A354) |
| 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 | 3.49 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1360
253.0 IPS |
|
|
Image Classification (HP)
|
100% |
14925
2.78 KIPS |
|
|
Image Classification (Q)
|
96% |
17371
3.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1629
26.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
20140
326.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
24453
396.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11988
14.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
105850
123.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
104537
122.5 IPS |
|
|
Object Detection (SP)
|
100% |
1641
130.2 IPS |
|
|
Object Detection (HP)
|
99% |
15455
1.23 KIPS |
|
|
Object Detection (Q)
|
91% |
17047
1.36 KIPS |
|
|
Face Detection (SP)
|
100% |
3590
42.7 IPS |
|
|
Face Detection (HP)
|
100% |
36059
428.5 IPS |
|
|
Face Detection (Q)
|
100% |
46396
551.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6112
47.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
88250
679.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
108312
846.4 IPS |
|
|
Style Transfer (SP)
|
100% |
25321
32.6 IPS |
|
|
Style Transfer (HP)
|
100% |
204243
262.6 IPS |
|
|
Style Transfer (Q)
|
96% |
190793
246.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4900
180.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
45475
1.68 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
49293
1.82 KIPS |
|
|
Text Classification (SP)
|
100% |
2479
3.31 KIPS |
|
|
Text Classification (HP)
|
99% |
4183
5.58 KIPS |
|
|
Text Classification (Q)
|
93% |
4207
5.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
4291
73.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4135
71.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4387
75.8 IPS |
