MacBook Pro (14-inch, 2023)
Geekbench AI Score
4105
Single Precision Score
27014
Half Precision Score
30297
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | mantis30pl |
| Upload Date | April 28 2025 07:53 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| 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% |
1394
259.2 IPS |
|
|
Image Classification (HP)
|
100% |
14107
2.62 KIPS |
|
|
Image Classification (Q)
|
96% |
16915
3.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1622
26.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
19765
320.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
24806
402.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
12739
14.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
105835
123.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
104246
122.2 IPS |
|
|
Object Detection (SP)
|
100% |
1677
133.0 IPS |
|
|
Object Detection (HP)
|
99% |
15323
1.22 KIPS |
|
|
Object Detection (Q)
|
91% |
16878
1.35 KIPS |
|
|
Face Detection (SP)
|
100% |
3458
41.1 IPS |
|
|
Face Detection (HP)
|
100% |
35446
421.2 IPS |
|
|
Face Detection (Q)
|
100% |
45719
543.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6212
47.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
87781
676.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
108684
849.3 IPS |
|
|
Style Transfer (SP)
|
100% |
24878
32.0 IPS |
|
|
Style Transfer (HP)
|
100% |
204751
263.2 IPS |
|
|
Style Transfer (Q)
|
96% |
191020
246.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5070
187.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41691
1.54 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
51362
1.90 KIPS |
|
|
Text Classification (SP)
|
100% |
2363
3.15 KIPS |
|
|
Text Classification (HP)
|
100% |
4092
5.46 KIPS |
|
|
Text Classification (Q)
|
93% |
4107
5.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
4398
75.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4212
72.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4409
76.2 IPS |
