MacBook Pro (14-inch, 2023)
Geekbench AI Score
4211
Single Precision Score
21000
Half Precision Score
23187
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | astrokari |
| Upload Date | August 31 2024 06:21 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5035e) |
| 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% |
1397
259.7 IPS |
|
|
Image Classification (HP)
|
100% |
13511
2.51 KIPS |
|
|
Image Classification (Q)
|
99% |
15814
2.95 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1737
28.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
9328
151.2 IPS |
|
|
Image Segmentation (Q)
|
100% |
9344
151.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
13073
15.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
102985
120.2 IPS |
|
|
Pose Estimation (Q)
|
94% |
98207
115.2 IPS |
|
|
Object Detection (SP)
|
100% |
1710
135.6 IPS |
|
|
Object Detection (HP)
|
99% |
13939
1.11 KIPS |
|
|
Object Detection (Q)
|
91% |
16655
1.33 KIPS |
|
|
Face Detection (SP)
|
100% |
3689
43.8 IPS |
|
|
Face Detection (HP)
|
100% |
23912
284.1 IPS |
|
|
Face Detection (Q)
|
100% |
36754
436.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6373
49.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
73802
568.6 IPS |
|
|
Depth Estimation (Q)
|
97% |
82258
636.0 IPS |
|
|
Style Transfer (SP)
|
100% |
24929
32.0 IPS |
|
|
Style Transfer (HP)
|
100% |
155809
200.3 IPS |
|
|
Style Transfer (Q)
|
100% |
156722
201.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5159
190.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41025
1.51 KIPS |
|
|
Image Super-Resolution (Q)
|
98% |
48458
1.80 KIPS |
|
|
Text Classification (SP)
|
100% |
2256
3.01 KIPS |
|
|
Text Classification (HP)
|
100% |
3915
5.23 KIPS |
|
|
Text Classification (Q)
|
93% |
3890
5.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
4739
81.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2088
36.0 IPS |
|
|
Machine Translation (Q)
|
98% |
2081
36.0 IPS |
