MacBook Pro (14-inch, 2023)
Geekbench AI Score
15070
Single Precision Score
16340
Half Precision Score
14564
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 19 2024 02:10 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| 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 | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6876
1.28 KIPS |
|
|
Image Classification (HP)
|
100% |
6784
1.26 KIPS |
|
|
Image Classification (Q)
|
97% |
5913
1.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12291
199.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
12215
198.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
12136
196.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
82918
96.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
86386
100.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
81381
95.4 IPS |
|
|
Object Detection (SP)
|
100% |
6252
495.9 IPS |
|
|
Object Detection (HP)
|
100% |
6676
529.6 IPS |
|
|
Object Detection (Q)
|
91% |
5768
460.9 IPS |
|
|
Face Detection (SP)
|
100% |
27040
321.3 IPS |
|
|
Face Detection (HP)
|
100% |
28103
333.9 IPS |
|
|
Face Detection (Q)
|
100% |
21106
250.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
32887
253.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
33900
261.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
28399
222.0 IPS |
|
|
Style Transfer (SP)
|
100% |
134694
173.2 IPS |
|
|
Style Transfer (HP)
|
100% |
152047
195.5 IPS |
|
|
Style Transfer (Q)
|
96% |
141911
183.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
19975
737.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20505
757.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16823
621.2 IPS |
|
|
Text Classification (SP)
|
100% |
2316
3.09 KIPS |
|
|
Text Classification (HP)
|
100% |
3984
5.32 KIPS |
|
|
Text Classification (Q)
|
93% |
3982
5.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
2490
42.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2400
41.3 IPS |
|
|
Machine Translation (Q)
|
98% |
2238
38.7 IPS |
