MacBook Pro (14-inch, 2023)
Geekbench AI Score
4184
Single Precision Score
26866
Half Precision Score
29826
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | HeyJude5 |
| Upload Date | August 21 2025 08:55 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 16.0 (Build 25A5279m) |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1411
262.5 IPS |
|
|
Image Classification (HP)
|
100% |
14214
2.64 KIPS |
|
|
Image Classification (Q)
|
96% |
16885
3.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1649
26.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
19624
318.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
24911
403.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
12689
14.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
105841
123.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
104218
122.1 IPS |
|
|
Object Detection (SP)
|
100% |
1719
136.4 IPS |
|
|
Object Detection (HP)
|
99% |
14764
1.17 KIPS |
|
|
Object Detection (Q)
|
91% |
16608
1.33 KIPS |
|
|
Face Detection (SP)
|
100% |
3604
42.8 IPS |
|
|
Face Detection (HP)
|
100% |
35841
425.9 IPS |
|
|
Face Detection (Q)
|
100% |
46089
547.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6299
48.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
88258
680.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
107941
843.5 IPS |
|
|
Style Transfer (SP)
|
100% |
26289
33.8 IPS |
|
|
Style Transfer (HP)
|
100% |
203866
262.1 IPS |
|
|
Style Transfer (Q)
|
96% |
189529
244.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5080
187.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
43825
1.62 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
48382
1.79 KIPS |
|
|
Text Classification (SP)
|
100% |
2373
3.17 KIPS |
|
|
Text Classification (HP)
|
100% |
3916
5.23 KIPS |
|
|
Text Classification (Q)
|
93% |
3930
5.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
4504
77.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4062
70.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4269
73.8 IPS |
