MacBook Pro (14-inch, 2023)
Geekbench AI Score
12917
Single Precision Score
13874
Half Precision Score
12554
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | January 07 2025 10:15 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| Model | MacBook Pro (14-inch, 2023) |
| Model ID | Mac14,5 |
| Motherboard | Mac14,5 |
| CPU Information | |
|---|---|
| Name | Apple M2 Max |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M2 Max |
| 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% |
6582
1.22 KIPS |
|
|
Image Classification (HP)
|
100% |
6633
1.23 KIPS |
|
|
Image Classification (Q)
|
97% |
5891
1.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10900
176.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
10669
173.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
10841
175.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
62182
72.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
65330
76.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
60243
70.6 IPS |
|
|
Object Detection (SP)
|
100% |
6238
494.8 IPS |
|
|
Object Detection (HP)
|
100% |
6535
518.4 IPS |
|
|
Object Detection (Q)
|
91% |
5681
454.0 IPS |
|
|
Face Detection (SP)
|
100% |
25223
299.7 IPS |
|
|
Face Detection (HP)
|
100% |
25091
298.1 IPS |
|
|
Face Detection (Q)
|
100% |
18179
216.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
29287
225.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
30055
231.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
25394
198.5 IPS |
|
|
Style Transfer (SP)
|
100% |
114806
147.6 IPS |
|
|
Style Transfer (HP)
|
100% |
128946
165.8 IPS |
|
|
Style Transfer (Q)
|
96% |
120041
154.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
20093
741.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21057
777.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17270
637.7 IPS |
|
|
Text Classification (SP)
|
100% |
2266
3.02 KIPS |
|
|
Text Classification (HP)
|
100% |
3981
5.31 KIPS |
|
|
Text Classification (Q)
|
93% |
3982
5.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
1204
20.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1073
18.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1168
20.2 IPS |
