MacBook Pro (14-inch, 2023)
Geekbench AI Score
9583
Single Precision Score
9243
Half Precision Score
8339
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | aeonsim |
| Upload Date | August 16 2024 03:15 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 14.5 (Build 23F79) |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4956
921.7 IPS |
|
|
Image Classification (HP)
|
100% |
5127
953.4 IPS |
|
|
Image Classification (Q)
|
99% |
4601
858.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
7989
129.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
8111
131.5 IPS |
|
|
Image Segmentation (Q)
|
100% |
7858
127.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
44278
51.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
46967
54.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
41852
49.0 IPS |
|
|
Object Detection (SP)
|
100% |
4712
373.7 IPS |
|
|
Object Detection (HP)
|
100% |
4804
381.0 IPS |
|
|
Object Detection (Q)
|
92% |
3909
312.0 IPS |
|
|
Face Detection (SP)
|
100% |
16049
190.7 IPS |
|
|
Face Detection (HP)
|
100% |
17550
208.5 IPS |
|
|
Face Detection (Q)
|
100% |
12032
143.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
25183
194.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
26183
201.7 IPS |
|
|
Depth Estimation (Q)
|
97% |
26227
202.8 IPS |
|
|
Style Transfer (SP)
|
100% |
79171
101.8 IPS |
|
|
Style Transfer (HP)
|
100% |
84844
109.1 IPS |
|
|
Style Transfer (Q)
|
100% |
83058
106.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
18173
671.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18427
680.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
13809
511.6 IPS |
|
|
Text Classification (SP)
|
100% |
1288
1.72 KIPS |
|
|
Text Classification (HP)
|
100% |
546
729.4 IPS |
|
|
Text Classification (Q)
|
93% |
611
819.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1056
18.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1237
21.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1244
21.5 IPS |
