MacBook Pro (14-inch, 2023)
Geekbench AI Score
3928
Single Precision Score
6250
Half Precision Score
4848
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 09 2024 05:40 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.0.1 (Build 24A348) |
| 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 | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1336
248.5 IPS |
|
|
Image Classification (HP)
|
100% |
2098
390.2 IPS |
|
|
Image Classification (Q)
|
96% |
1503
280.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1598
25.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2514
40.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2761
44.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10916
12.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
20284
23.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
14564
17.1 IPS |
|
|
Object Detection (SP)
|
100% |
1585
125.7 IPS |
|
|
Object Detection (HP)
|
97% |
2162
172.2 IPS |
|
|
Object Detection (Q)
|
94% |
1537
122.5 IPS |
|
|
Face Detection (SP)
|
100% |
3438
40.8 IPS |
|
|
Face Detection (HP)
|
100% |
5659
67.2 IPS |
|
|
Face Detection (Q)
|
100% |
3283
39.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6073
46.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
10446
80.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
7191
56.2 IPS |
|
|
Style Transfer (SP)
|
100% |
24651
31.7 IPS |
|
|
Style Transfer (HP)
|
100% |
38133
49.0 IPS |
|
|
Style Transfer (Q)
|
96% |
29380
37.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5034
185.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7092
261.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4438
163.9 IPS |
|
|
Text Classification (SP)
|
100% |
2249
3.00 KIPS |
|
|
Text Classification (HP)
|
100% |
3830
5.11 KIPS |
|
|
Text Classification (Q)
|
93% |
3976
5.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
4068
70.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6422
111.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6309
109.0 IPS |
