MacBook Pro (14-inch, 2023)
Geekbench AI Score
13954
Single Precision Score
14976
Half Precision Score
13697
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | wave |
| Upload Date | November 09 2024 06:07 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5073e) |
| 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% |
6722
1.25 KIPS |
|
|
Image Classification (HP)
|
100% |
6629
1.23 KIPS |
|
|
Image Classification (Q)
|
97% |
5819
1.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12350
200.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
12364
200.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
12152
197.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
83082
96.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
86922
101.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
81391
95.4 IPS |
|
|
Object Detection (SP)
|
100% |
6325
501.7 IPS |
|
|
Object Detection (HP)
|
100% |
6561
520.4 IPS |
|
|
Object Detection (Q)
|
91% |
5708
456.1 IPS |
|
|
Face Detection (SP)
|
100% |
27400
325.6 IPS |
|
|
Face Detection (HP)
|
100% |
27134
322.4 IPS |
|
|
Face Detection (Q)
|
100% |
21372
253.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
33162
255.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
34222
263.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
29039
226.9 IPS |
|
|
Style Transfer (SP)
|
100% |
135101
173.7 IPS |
|
|
Style Transfer (HP)
|
100% |
152030
195.4 IPS |
|
|
Style Transfer (Q)
|
96% |
141811
183.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
19522
720.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20071
741.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16624
613.8 IPS |
|
|
Text Classification (SP)
|
100% |
2236
2.99 KIPS |
|
|
Text Classification (HP)
|
100% |
3826
5.11 KIPS |
|
|
Text Classification (Q)
|
93% |
3850
5.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
1198
20.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1120
19.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1256
21.7 IPS |
