MacBook Pro (14-inch, 2023)
Geekbench AI Score
9971
Single Precision Score
11248
Half Precision Score
10058
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | Leomotors |
| Upload Date | August 19 2024 01:22 PM |
| Views | 6 |
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 | 3.47 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5747
1.07 KIPS |
|
|
Image Classification (HP)
|
100% |
5978
1.11 KIPS |
|
|
Image Classification (Q)
|
99% |
5273
983.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
10675
173.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
10584
171.6 IPS |
|
|
Image Segmentation (Q)
|
100% |
10206
165.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
60499
70.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
63484
74.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
56256
65.9 IPS |
|
|
Object Detection (SP)
|
100% |
5578
442.4 IPS |
|
|
Object Detection (HP)
|
100% |
5876
466.1 IPS |
|
|
Object Detection (Q)
|
92% |
4906
391.6 IPS |
|
|
Face Detection (SP)
|
100% |
21561
256.2 IPS |
|
|
Face Detection (HP)
|
100% |
22175
263.5 IPS |
|
|
Face Detection (Q)
|
100% |
15807
187.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
28320
218.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
28850
222.3 IPS |
|
|
Depth Estimation (Q)
|
97% |
28533
220.6 IPS |
|
|
Style Transfer (SP)
|
100% |
112233
144.3 IPS |
|
|
Style Transfer (HP)
|
100% |
125970
161.9 IPS |
|
|
Style Transfer (Q)
|
100% |
124051
159.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
20039
739.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20526
757.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
15021
556.5 IPS |
|
|
Text Classification (SP)
|
100% |
328
437.6 IPS |
|
|
Text Classification (HP)
|
100% |
782
1.04 KIPS |
|
|
Text Classification (Q)
|
93% |
779
1.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
1042
18.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1062
18.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1090
18.8 IPS |
