MacBook Pro (14-inch, 2023)
Geekbench AI Score
3180
Single Precision Score
4739
Half Precision Score
3932
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | rene_simon |
| Upload Date | August 16 2024 08:25 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 3.45 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1468
273.1 IPS |
|
|
Image Classification (HP)
|
100% |
1807
336.1 IPS |
|
|
Image Classification (Q)
|
99% |
1816
338.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1310
21.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1303
21.1 IPS |
|
|
Image Segmentation (Q)
|
100% |
1298
21.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6258
7.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
14917
17.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
12588
14.7 IPS |
|
|
Object Detection (SP)
|
100% |
1567
124.3 IPS |
|
|
Object Detection (HP)
|
97% |
2229
177.5 IPS |
|
|
Object Detection (Q)
|
94% |
1711
136.4 IPS |
|
|
Face Detection (SP)
|
100% |
3040
36.1 IPS |
|
|
Face Detection (HP)
|
100% |
4335
51.5 IPS |
|
|
Face Detection (Q)
|
100% |
2857
34.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5502
42.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
8558
66.1 IPS |
|
|
Depth Estimation (Q)
|
96% |
4252
32.9 IPS |
|
|
Style Transfer (SP)
|
100% |
16766
21.6 IPS |
|
|
Style Transfer (HP)
|
100% |
26683
34.3 IPS |
|
|
Style Transfer (Q)
|
100% |
26709
34.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3746
138.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4828
178.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3539
131.1 IPS |
|
|
Text Classification (SP)
|
100% |
2321
3.10 KIPS |
|
|
Text Classification (HP)
|
100% |
3360
4.49 KIPS |
|
|
Text Classification (Q)
|
93% |
3330
4.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
2305
39.7 IPS |
|
|
Machine Translation (HP)
|
98% |
4548
78.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4554
78.7 IPS |
