MacBook Pro (14-inch, 2023)
Geekbench AI Score
3970
Single Precision Score
26892
Half Precision Score
30014
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | plasmadice |
| Upload Date | July 23 2025 03:21 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 | 3.44 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1349
250.8 IPS |
|
|
Image Classification (HP)
|
100% |
14823
2.76 KIPS |
|
|
Image Classification (Q)
|
96% |
16999
3.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1575
25.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
19887
322.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
23914
387.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
12214
14.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
106242
124.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
105025
123.1 IPS |
|
|
Object Detection (SP)
|
100% |
1602
127.1 IPS |
|
|
Object Detection (HP)
|
99% |
15544
1.24 KIPS |
|
|
Object Detection (Q)
|
91% |
17608
1.41 KIPS |
|
|
Face Detection (SP)
|
100% |
3383
40.2 IPS |
|
|
Face Detection (HP)
|
100% |
34375
408.4 IPS |
|
|
Face Detection (Q)
|
100% |
44563
529.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5952
45.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
87751
676.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
109875
858.6 IPS |
|
|
Style Transfer (SP)
|
100% |
24098
31.0 IPS |
|
|
Style Transfer (HP)
|
100% |
203088
261.1 IPS |
|
|
Style Transfer (Q)
|
96% |
192742
248.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4989
184.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
42175
1.56 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
50899
1.88 KIPS |
|
|
Text Classification (SP)
|
100% |
2304
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
4012
5.36 KIPS |
|
|
Text Classification (Q)
|
93% |
3980
5.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
4198
72.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3921
67.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4128
71.3 IPS |
