MacBook Pro (14-inch, 2023)
Geekbench AI Score
4142
Single Precision Score
26595
Half Precision Score
29791
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 09 2024 05:33 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5073e) |
| 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 | 3.43 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1371
254.9 IPS |
|
|
Image Classification (HP)
|
100% |
14093
2.62 KIPS |
|
|
Image Classification (Q)
|
96% |
16915
3.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1697
27.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
19437
315.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
24567
398.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
12916
15.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
106244
124.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
104748
122.8 IPS |
|
|
Object Detection (SP)
|
100% |
1670
132.4 IPS |
|
|
Object Detection (HP)
|
99% |
15532
1.24 KIPS |
|
|
Object Detection (Q)
|
91% |
17271
1.38 KIPS |
|
|
Face Detection (SP)
|
100% |
3659
43.5 IPS |
|
|
Face Detection (HP)
|
100% |
35312
419.6 IPS |
|
|
Face Detection (Q)
|
100% |
45695
543.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6256
48.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
87654
675.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
108912
851.1 IPS |
|
|
Style Transfer (SP)
|
100% |
24996
32.1 IPS |
|
|
Style Transfer (HP)
|
100% |
205846
264.6 IPS |
|
|
Style Transfer (Q)
|
96% |
193673
249.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5081
187.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41415
1.53 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
48424
1.79 KIPS |
|
|
Text Classification (SP)
|
100% |
2258
3.01 KIPS |
|
|
Text Classification (HP)
|
100% |
3791
5.06 KIPS |
|
|
Text Classification (Q)
|
93% |
3784
5.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
4512
77.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3916
67.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4148
71.7 IPS |
