MacBook Pro (14-inch, 2023)
Geekbench AI Score
7890
Single Precision Score
8205
Half Precision Score
7247
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | Martythebrit |
| Upload Date | August 15 2024 06:23 PM |
| Views | 20 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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% |
4877
907.0 IPS |
|
|
Image Classification (HP)
|
100% |
4842
900.5 IPS |
|
|
Image Classification (Q)
|
99% |
4303
802.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
7247
117.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
7163
116.1 IPS |
|
|
Image Segmentation (Q)
|
100% |
6954
112.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
36747
42.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
38866
45.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
34938
40.9 IPS |
|
|
Object Detection (SP)
|
100% |
4535
359.7 IPS |
|
|
Object Detection (HP)
|
100% |
4655
369.2 IPS |
|
|
Object Detection (Q)
|
92% |
3784
302.0 IPS |
|
|
Face Detection (SP)
|
100% |
15219
180.8 IPS |
|
|
Face Detection (HP)
|
100% |
15868
188.5 IPS |
|
|
Face Detection (Q)
|
100% |
10970
130.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
23562
181.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
24421
188.1 IPS |
|
|
Depth Estimation (Q)
|
97% |
24706
191.0 IPS |
|
|
Style Transfer (SP)
|
100% |
67913
87.3 IPS |
|
|
Style Transfer (HP)
|
100% |
73506
94.5 IPS |
|
|
Style Transfer (Q)
|
100% |
73276
94.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13543
500.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14063
519.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
10275
380.7 IPS |
|
|
Text Classification (SP)
|
100% |
539
720.1 IPS |
|
|
Text Classification (HP)
|
100% |
616
822.3 IPS |
|
|
Text Classification (Q)
|
93% |
536
718.9 IPS |
|
|
Machine Translation (SP)
|
100% |
893
15.4 IPS |
|
|
Machine Translation (HP)
|
100% |
894
15.4 IPS |
|
|
Machine Translation (Q)
|
98% |
924
16.0 IPS |
