MacBook Pro (14-inch, 2023)
Geekbench AI Score
4100
Single Precision Score
27561
Half Precision Score
30516
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | nixxx |
| Upload Date | February 18 2026 11:09 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D125) |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1374
255.6 IPS |
|
|
Image Classification (HP)
|
100% |
14756
2.74 KIPS |
|
|
Image Classification (Q)
|
96% |
17014
3.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1652
26.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
20143
326.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
24807
402.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
11901
13.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
107149
125.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
104484
122.5 IPS |
|
|
Object Detection (SP)
|
100% |
1642
130.2 IPS |
|
|
Object Detection (HP)
|
99% |
15626
1.24 KIPS |
|
|
Object Detection (Q)
|
91% |
17080
1.36 KIPS |
|
|
Face Detection (SP)
|
100% |
3629
43.1 IPS |
|
|
Face Detection (HP)
|
100% |
36098
428.9 IPS |
|
|
Face Detection (Q)
|
100% |
46710
555.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6160
47.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
88334
680.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
108544
848.2 IPS |
|
|
Style Transfer (SP)
|
100% |
25536
32.8 IPS |
|
|
Style Transfer (HP)
|
100% |
204475
262.9 IPS |
|
|
Style Transfer (Q)
|
96% |
193975
250.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4917
181.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
45164
1.67 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
51682
1.91 KIPS |
|
|
Text Classification (SP)
|
100% |
2493
3.33 KIPS |
|
|
Text Classification (HP)
|
99% |
4193
5.60 KIPS |
|
|
Text Classification (Q)
|
93% |
4188
5.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
4331
74.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4117
70.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4368
75.5 IPS |
