MacBook Pro (14-inch, 2023)
Geekbench AI Score
2190
Single Precision Score
15026
Half Precision Score
16038
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | Martythebrit |
| Upload Date | August 15 2024 06:31 PM |
| Views | 24 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1114
207.3 IPS |
|
|
Image Classification (HP)
|
100% |
7931
1.47 KIPS |
|
|
Image Classification (Q)
|
99% |
8502
1.59 KIPS |
|
|
Image Segmentation (SP)
|
100% |
735
11.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
5141
83.3 IPS |
|
|
Image Segmentation (Q)
|
100% |
5129
83.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
11300
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
92518
108.0 IPS |
|
|
Pose Estimation (Q)
|
94% |
88413
103.7 IPS |
|
|
Object Detection (SP)
|
100% |
1257
99.7 IPS |
|
|
Object Detection (HP)
|
99% |
9245
735.4 IPS |
|
|
Object Detection (Q)
|
93% |
10244
817.3 IPS |
|
|
Face Detection (SP)
|
100% |
2024
24.0 IPS |
|
|
Face Detection (HP)
|
100% |
11507
136.7 IPS |
|
|
Face Detection (Q)
|
100% |
13732
163.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3891
30.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
55688
429.0 IPS |
|
|
Depth Estimation (Q)
|
97% |
60119
464.8 IPS |
|
|
Style Transfer (SP)
|
100% |
13112
16.9 IPS |
|
|
Style Transfer (HP)
|
100% |
146276
188.0 IPS |
|
|
Style Transfer (Q)
|
100% |
145284
186.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2379
87.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20735
765.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
27478
1.02 KIPS |
|
|
Text Classification (SP)
|
100% |
491
655.7 IPS |
|
|
Text Classification (HP)
|
100% |
3865
5.16 KIPS |
|
|
Text Classification (Q)
|
93% |
3885
5.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
1816
31.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2240
38.6 IPS |
|
|
Machine Translation (Q)
|
98% |
2227
38.5 IPS |
