MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
15601
Single Precision Score
19726
Half Precision Score
17745
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 21 2024 06:56 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B91) |
| Model | MacBook Pro (14-inch, Nov 2023) |
| Model ID | Mac15,10 |
| Motherboard | Mac15,10 |
| CPU Information | |
|---|---|
| Name | Apple M3 Max |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M3 Max |
| Base Frequency | 4.04 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7283
1.35 KIPS |
|
|
Image Classification (HP)
|
100% |
7726
1.44 KIPS |
|
|
Image Classification (Q)
|
97% |
6782
1.27 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13775
223.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
14623
237.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
15164
245.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
66635
77.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
69259
80.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
65813
77.1 IPS |
|
|
Object Detection (SP)
|
100% |
7017
556.6 IPS |
|
|
Object Detection (HP)
|
100% |
7557
599.4 IPS |
|
|
Object Detection (Q)
|
91% |
6375
509.4 IPS |
|
|
Face Detection (SP)
|
100% |
25867
307.4 IPS |
|
|
Face Detection (HP)
|
100% |
30434
361.6 IPS |
|
|
Face Detection (Q)
|
100% |
23451
278.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
33152
255.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
35717
275.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
28780
224.9 IPS |
|
|
Style Transfer (SP)
|
100% |
143120
184.0 IPS |
|
|
Style Transfer (HP)
|
100% |
161515
207.6 IPS |
|
|
Style Transfer (Q)
|
96% |
149889
193.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
21481
793.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22812
842.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18590
686.4 IPS |
|
|
Text Classification (SP)
|
100% |
2915
3.89 KIPS |
|
|
Text Classification (HP)
|
100% |
5252
7.01 KIPS |
|
|
Text Classification (Q)
|
93% |
5127
6.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
2370
40.8 IPS |
|
|
Machine Translation (HP)
|
98% |
7175
124.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7444
128.6 IPS |
