MacBook Pro (14-inch, 2023)
Geekbench AI Score
12470
Single Precision Score
11728
Half Precision Score
10511
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| Upload Date | August 16 2024 04:29 PM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5935
1.10 KIPS |
|
|
Image Classification (HP)
|
100% |
6149
1.14 KIPS |
|
|
Image Classification (Q)
|
99% |
5438
1.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12299
199.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
11871
192.4 IPS |
|
|
Image Segmentation (Q)
|
100% |
11640
188.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
80930
94.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
84839
99.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
75356
88.3 IPS |
|
|
Object Detection (SP)
|
100% |
5799
460.0 IPS |
|
|
Object Detection (HP)
|
100% |
6145
487.4 IPS |
|
|
Object Detection (Q)
|
92% |
5120
408.7 IPS |
|
|
Face Detection (SP)
|
100% |
23108
274.6 IPS |
|
|
Face Detection (HP)
|
100% |
24043
285.7 IPS |
|
|
Face Detection (Q)
|
100% |
17293
205.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
32237
248.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
32873
253.3 IPS |
|
|
Depth Estimation (Q)
|
97% |
32593
252.0 IPS |
|
|
Style Transfer (SP)
|
100% |
132496
170.3 IPS |
|
|
Style Transfer (HP)
|
100% |
150273
193.2 IPS |
|
|
Style Transfer (Q)
|
100% |
147923
190.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
20704
764.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20537
758.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
15676
580.7 IPS |
|
|
Text Classification (SP)
|
100% |
1177
1.57 KIPS |
|
|
Text Classification (HP)
|
100% |
481
642.0 IPS |
|
|
Text Classification (Q)
|
93% |
478
641.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1104
19.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1103
19.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1079
18.7 IPS |
